* using log directory 'd:/Rcompile/CRANpkg/local/4.0/MIRES.Rcheck'
* using R version 4.0.5 (2021-03-31)
* using platform: x86_64-w64-mingw32 (64-bit)
* using session charset: ISO8859-1
* checking for file 'MIRES/DESCRIPTION' ... OK
* this is package 'MIRES' version '0.1.0'
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking whether package 'MIRES' can be installed ... ERROR
Installation failed.
See 'd:/Rcompile/CRANpkg/local/4.0/MIRES.Rcheck/00install.out' for details.
* DONE
The installation logfile:
* installing *source* package 'MIRES' ...
** package 'MIRES' successfully unpacked and MD5 sums checked
** using staged installation
** libs

*** arch - i386
make[1]: Entering directory '/d/temp/Rtmp8k1KGZ/R.INSTALL185fc3b3c1ed2/MIRES/src-i386'


d:/Compiler/rtools40/mingw32/bin/g++  -std=gnu++14 -I"D:/RCompile/recent/R-4.0.5/include" -DNDEBUG -I"../inst/include" -I"d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1  -I'd:/RCompile/CRANpkg/lib/4.0/BH/include' -I'd:/RCompile/CRANpkg/lib/4.0/Rcpp/include' -I'd:/RCompile/CRANpkg/lib/4.0/RcppEigen/include' -I'd:/RCompile/CRANpkg/lib/4.0/rstan/include' -I'd:/RCompile/CRANpkg/lib/4.0/StanHeaders/include'   -I"d:/Compiler/gcc-4.9.3/local330/include"  -DRCPP_PARALLEL_USE_TBB=1 -I"d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign -c RcppExports.cpp -o RcppExports.o
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:397,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/RcppEigenForward.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument '__m128' {aka '__vector(4) float'} [-Wignored-attributes]
 template<> struct is_arithmetic<__m128>  { enum { value = true }; };
                                       ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument '__m128i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 template<> struct is_arithmetic<__m128i> { enum { value = true }; };
                                        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument '__m128d' {aka '__vector(2) double'} [-Wignored-attributes]
 template<> struct is_arithmetic<__m128d> { enum { value = true }; };
                                        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
                                           ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
                                           ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
                                           ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
 struct palign_impl<Offset,Packet4f>
                                   ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 struct palign_impl<Offset,Packet4i>
                                   ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
 struct palign_impl<Offset,Packet2d>
                                   ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet4f,4>& kernel) {
                                  ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet2d,2>& kernel) {
                                  ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet4i,4>& kernel) {
                                  ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:377,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/RcppEigenForward.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/RcppEigenForward.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<int, -1>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:101:22:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) long long int>::half' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/RcppEigenForward.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<int, 1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, 1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, 1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:101:22:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Array<int, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Ref<Eigen::Array<int, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Array<int, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from 'class Eigen::Ref<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:694:17:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/RcppEigenForward.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__vector(4) float'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/RcppEigenForward.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<float>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/RcppEigenForward.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/RcppEigenForward.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/SparseCore:37,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Sparse:26,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/RcppEigenForward.h:31,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/RcppEigenForward.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]


d:/Compiler/rtools40/mingw32/bin/g++  -std=gnu++14 -I"D:/RCompile/recent/R-4.0.5/include" -DNDEBUG -I"../inst/include" -I"d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1  -I'd:/RCompile/CRANpkg/lib/4.0/BH/include' -I'd:/RCompile/CRANpkg/lib/4.0/Rcpp/include' -I'd:/RCompile/CRANpkg/lib/4.0/RcppEigen/include' -I'd:/RCompile/CRANpkg/lib/4.0/rstan/include' -I'd:/RCompile/CRANpkg/lib/4.0/StanHeaders/include'   -I"d:/Compiler/gcc-4.9.3/local330/include"  -DRCPP_PARALLEL_USE_TBB=1 -I"d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign -c stanExports_dpExp.cc -o stanExports_dpExp.o
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:397,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument '__m128' {aka '__vector(4) float'} [-Wignored-attributes]
 template<> struct is_arithmetic<__m128>  { enum { value = true }; };
                                       ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument '__m128i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 template<> struct is_arithmetic<__m128i> { enum { value = true }; };
                                        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument '__m128d' {aka '__vector(2) double'} [-Wignored-attributes]
 template<> struct is_arithmetic<__m128d> { enum { value = true }; };
                                        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
                                           ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
                                           ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
                                           ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
 struct palign_impl<Offset,Packet4f>
                                   ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 struct palign_impl<Offset,Packet4i>
                                   ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
 struct palign_impl<Offset,Packet2d>
                                   ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet4f,4>& kernel) {
                                  ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet2d,2>& kernel) {
                                  ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet4i,4>& kernel) {
                                  ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:377,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<int, -1>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:101:22:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) long long int>::half' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<int, 1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, 1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, 1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:101:22:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Array<int, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Ref<Eigen::Array<int, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Array<int, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from 'class Eigen::Ref<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:694:17:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__vector(4) float'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<float>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     explicit shared_count( std::auto_ptr<Y> & r ): pi_( new sp_counted_impl_p<Y>( r.get() ) )
                                 ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpExp.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:250:65: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
 template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R >
                                                                 ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpExp.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:507:31: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     explicit shared_ptr( std::auto_ptr<Y> & r ): px(r.get()), pn()
                               ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpExp.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:520:22: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     shared_ptr( std::auto_ptr<Y> && r ): px(r.get()), pn()
                      ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpExp.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:603:34: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     shared_ptr & operator=( std::auto_ptr<Y> & r )
                                  ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpExp.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:612:34: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     shared_ptr & operator=( std::auto_ptr<Y> && r )
                                  ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpExp.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function 'boost::shared_ptr<T>& boost::shared_ptr<T>::operator=(std::auto_ptr<_Up>&&)':
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:614:38: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
         this_type( static_cast< std::auto_ptr<Y> && >( r ) ).swap( *this );
                                      ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpExp.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/aux_/na_assert.hpp:23,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/arg.hpp:25,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/placeholders.hpp:24,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/iterator/iterator_categories.hpp:16,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/iterator/iterator_facade.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/range/iterator_range_core.hpp:27,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/lexical_cast.hpp:30,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_args.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:20,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/assert.hpp: At global scope:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of 'assert_arg' [-Wparentheses]
 failed ************ (Pred::************
                     ^
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of 'assert_not_arg' [-Wparentheses]
 failed ************ (boost::mpl::not_<Pred>::************
                     ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/SparseCore:37,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Sparse:26,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:14,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1065:84: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_root_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_root_proxy& ) {
                                                                                    ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpExp.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1069:84: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_root_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_root_proxy& ) {
                                                                                    ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpExp.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1074:99: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_root_with_context_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_root_with_context_proxy& p ) {
                                                                                                   ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpExp.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1078:99: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_root_with_context_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_root_with_context_proxy& p ) {
                                                                                                   ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpExp.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1083:94: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_continuation_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_continuation_proxy& p ) {
                                                                                              ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpExp.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1087:94: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_continuation_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_continuation_proxy& p ) {
                                                                                              ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpExp.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1091:87: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_child_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_child_proxy& p ) {
                                                                                       ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpExp.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1095:87: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_child_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_child_proxy& p ) {
                                                                                       ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpExp.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1099:101: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_additional_child_of_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_additional_child_of_proxy& p ) {
                                                                                                     ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpExp.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1103:101: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_additional_child_of_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_additional_child_of_proxy& p ) {
                                                                                                     ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpExp.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:20:14:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:23:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:49,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isinf.hpp:16:42: warning: optimization attribute on 'int std::isinf(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isinf(const stan::math::var& a) {
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpExp.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:597:3: note: previous definition of 'constexpr bool std::isinf(long double)' was here
   isinf(long double __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:49,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isinf.hpp:16:42: warning: optimization attribute on 'int std::isinf(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isinf(const stan::math::var& a) {
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpExp.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:592:3: note: previous definition of 'constexpr bool std::isinf(double)' was here
   isinf(double __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:49,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isinf.hpp:16:42: warning: optimization attribute on 'int std::isinf(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isinf(const stan::math::var& a) {
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpExp.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:584:3: note: previous definition of 'constexpr bool std::isinf(float)' was here
   isinf(float __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:50,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isnan.hpp:18:42: warning: optimization attribute on 'int std::isnan(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isnan(const stan::math::var& a) { return isnan(a.val()); }
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpExp.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:624:3: note: previous definition of 'constexpr bool std::isnan(long double)' was here
   isnan(long double __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:50,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isnan.hpp:18:42: warning: optimization attribute on 'int std::isnan(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isnan(const stan::math::var& a) { return isnan(a.val()); }
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpExp.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:619:3: note: previous definition of 'constexpr bool std::isnan(double)' was here
   isnan(double __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:50,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isnan.hpp:18:42: warning: optimization attribute on 'int std::isnan(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isnan(const stan::math::var& a) { return isnan(a.val()); }
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpExp.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:611:3: note: previous definition of 'constexpr bool std::isnan(float)' was here
   isnan(float __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:30:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:34:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:113:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:23:60:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/to_row_vector.hpp:30:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:13:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:26:31:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:19:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:37:40:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:28:37:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/categorical_logit_glm_lpmf.hpp:134:15:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:5,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:278,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp: In function 'stan::return_type_t<T1, T2> stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&)':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:60:74: warning: typedef 'using T_partials_vec = struct Eigen::Matrix<typename stan::partials_return_type<T_prob, T_prior_size>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   using T_partials_vec = typename Eigen::Matrix<T_partials_return, -1, 1>;
                                                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:44:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:76:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:89:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/wishart_rng.hpp:32:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_rng.hpp:24:17:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:64:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76:   recursively required by substitution of 'template<int Side, class Other> const Eigen::internal::triangular_solve_retval<Side, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Other> Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6, Eigen::Dense>::solve<Side, Other>(const Eigen::MatrixBase<U>&) const [with int Side = <missing>; Other = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54:   required from 'struct Eigen::internal::accessors_level<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:43:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:52:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_rng.hpp:70:50:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_prec_rng.hpp:83:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37:   recursively required by substitution of 'template<class ThenDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, ThenDerived, typename ThenDerived::ConstantReturnType> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >::select<ThenDerived>(const Eigen::DenseBase<Derived>&, const typename ThenDerived::Scalar&) const [with ThenDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:52:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:60:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:127:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:134:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >::select<ElseDerived>(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >::select<ElseDerived>(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:139:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:77:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:78:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >::select<ElseDerived>(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:164:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:166:50:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_log.hpp:5,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:328,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp: In function 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&)':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp:55:34: warning: typedef 'using T_alpha_val = std::conditional_t<stan::is_vector<T4>::value, Eigen::Array<typename stan::partials_return_type<T_alpha>::type, -1, 1>, typename stan::partials_return_type<T_alpha>::type>' locally defined but not used [-Wunused-local-typedefs]
       partials_return_t<T_alpha>>;
                                  ^
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/invocation/invoke.hpp:52,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/adapter/fused.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/generation/make_fused.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/include/make_fused.hpp:11,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint/util/resize.hpp:28,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint.hpp:25,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/arr/functor/integrate_ode_rk45.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/arr.hpp:34,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:336,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/get_pointer.hpp: At global scope:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/get_pointer.hpp:48:40: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
 template<class T> T * get_pointer(std::auto_ptr<T> const& p)
                                        ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpExp.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:6:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:107:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:109:60:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:148:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:149:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:156:22:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from 'class Eigen::Ref<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:60:10:   required from 'class Eigen::LLT<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41:   required from 'struct Eigen::internal::mapbase_evaluator<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:896:8:   required from 'struct Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8:   required from 'struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:44:26:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >::match<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:200:63:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:21:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:44:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:41:18:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7:   required from 'class Eigen::InverseImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:18:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/grad.hpp:28:13:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:43:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:39:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:43:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_determinant_spd.hpp:38:44:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:68:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:74:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:62:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:20:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 6>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 6>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:205:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, 1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, 1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, 1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:437:22:   required from 'class Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:34:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:119:62:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:171:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left_tri.hpp:107:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:33:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:42:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:35:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:31:9:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:51,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp: In static member function 'static double stan::math::internal::squared_distance_vv_vari::var_squared_distance(const Eigen::Matrix<stan::math::var, R, C>&, const Eigen::Matrix<stan::math::var, R2, C2, (AutoAlign | (((R2 == 1) && (C2 != 1)) ? RowMajor : (((C2 == 1) && (R2 != 1)) ? ColMajor :  ColMajor))), R2, C2>&)':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:27:54: warning: typedef 'using idx_t = using type = Eigen::EigenBase<Eigen::Matrix<stan::math::var, -1, -1> >::Index' locally defined but not used [-Wunused-local-typedefs]
     using idx_t = typename index_type<matrix_v>::type;
                                                      ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from 'class Eigen::Ref<const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:67:44:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:68:9:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:51,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp: In static member function 'static double stan::math::internal::squared_distance_vd_vari::var_squared_distance(const Eigen::Matrix<stan::math::var, R, C>&, const Eigen::Matrix<double, R2, C2>&)':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:64:54: warning: typedef 'using idx_t = using type = Eigen::EigenBase<Eigen::Matrix<double, -1, -1> >::Index' locally defined but not used [-Wunused-local-typedefs]
     using idx_t = typename index_type<matrix_d>::type;
                                                      ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sum.hpp:21:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:28:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:59:23:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:61:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:38:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59:   recursively required by substitution of 'template<class OtherDerived> typename Eigen::ScalarBinaryOpTraits<double, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<double, typename Eigen::internal::traits<T>::Scalar> >::ReturnType Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >::dot<OtherDerived>(const Eigen::MatrixBase<Derived>&) const [with OtherDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:63:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:61:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:65:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:19:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:22:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:60:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:56:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from stanExports_dpExp.cc:5:
stanExports_dpExp.h: In member function 'virtual void model_dpExp_namespace::model_dpExp::transform_inits(const stan::io::var_context&, std::vector<int>&, std::vector<double>&, std::ostream*) const':
stanExports_dpExp.h:179:24: warning: typedef 'local_scalar_t__' locally defined but not used [-Wunused-local-typedefs]
         typedef double local_scalar_t__;
                        ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:227:48:   required from 'void Eigen::DenseBase<Derived>::transposeInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:24:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:44:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:52:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:40:61:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/to_matrix.hpp:122:17:   required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::to_matrix(const std::vector<T>&, int, int) [with T = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:74:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:52,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector<unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<unsigned int> >&) [with T = unsigned int]':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:97:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<unsigned int> >::size_type' {aka 'unsigned int'} [-Wsign-compare]
     for (int i = 0; i < dims.size(); i++) {
                     ~~^~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector<unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<unsigned int> >&) [with T = int]':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:118:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<unsigned int> >::size_type' {aka 'unsigned int'} [-Wsign-compare]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Eigen::ArrayBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp: In instantiation of 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]':
stanExports_dpExp.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1238:9: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
     int ret = stan::services::error_codes::CONFIG;
         ^~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:244:25:   required from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:39:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:65:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:22:   required from 'Eigen::Matrix<Scalar, -1, 1> stan::math::softmax(const Eigen::Matrix<Scalar, -1, 1>&) [with T = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21:   required from 'Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array<bool, size>&, const VectorXd&) [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70:   required from 'auto stan::math::adj_jac_vari<F, Targs>::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15:   required from 'auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:9:   required from 'Eigen::Matrix<Scalar, -1, 1> stan::math::softmax(const Eigen::Matrix<Scalar, -1, 1>&) [with T = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21:   required from 'Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array<bool, size>&, const VectorXd&) [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70:   required from 'auto stan::math::adj_jac_vari<F, Targs>::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15:   required from 'auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:37:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:52,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]':
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:91:22: warning: comparison of integer expressions of different signedness: 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'unsigned int'} and 'Eigen::Index' {aka 'int'} [-Wsign-compare]
   if (p_names.size() != draws.cols()) {
       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:109:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'unsigned int'} and 'Eigen::Index' {aka 'int'} [-Wsign-compare]
   for (size_t i = 0; i < draws.rows(); ++i) {
                      ~~^~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:113:65:   required from 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                         ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                         ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                         ^~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:27:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_cholesky_factor.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:9,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_less_or_equal.hpp: In instantiation of 'static void stan::math::internal::less_or_equal<T_y, T_high, is_vec>::check(const char*, const char*, const T_y&, const T_high&) [with T_y = unsigned int; T_high = int; bool is_vec = false]':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_less_or_equal.hpp:64:74:   required from 'void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&) [with T_y = unsigned int; T_high = int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:79:36:   required from 'std::vector<unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<unsigned int> >&) [with T = int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:118:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_less_or_equal.hpp:19:15: warning: comparison of integer expressions of different signedness: 'const unsigned int' and 'int' [-Wsign-compare]
       if (!(y <= high_vec[n])) {
            ~~~^~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:52,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<unsigned int> >&) [with Model = model_dpExp_namespace::model_dpExp]':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:105:23:   required from 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:41:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<unsigned int>::size_type' {aka 'unsigned int'} [-Wsign-compare]
     for (int j = 0; j < dimss[i].size(); ++j)
                     ~~^~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = int; DataMapper = Eigen::internal::blas_data_mapper<double, int, 0, 0, 1>; int mr = 2; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar = double]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:21: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
                     ^~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 16>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = int; int mr = 2; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = int; int mr = 2; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<int, int>; Derived = Eigen::internal::redux_evaluator<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<int, int>; Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:24:21:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:351:41:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:39:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; U = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:25:   required from 'static double stan::math::internal::dot_product_vari<T1, T2>::var_dot(stan::math::vari**, stan::math::vari**, size_t) [with T1 = stan::math::var; T2 = stan::math::var; size_t = unsigned int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:129:21:   required from 'stan::math::internal::dot_product_vari<T1, T2>::dot_product_vari(typename stan::math::internal::dot_product_store_type<T1>::type, typename stan::math::internal::dot_product_store_type<T2>::type, size_t) [with T1 = stan::math::var; T2 = stan::math::var; typename stan::math::internal::dot_product_store_type<T1>::type = stan::math::vari**; typename stan::math::internal::dot_product_store_type<T2>::type = stan::math::vari**; size_t = unsigned int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/tcrossprod.hpp:49:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:43:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:144:30:   required from 'bool Eigen::DenseBase<Derived>::hasNaN() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:158:10:   required from 'bool Eigen::DenseBase<Derived>::allFinite() const [with Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_finite.hpp:30:9:   required from 'static void stan::math::internal::finite<Eigen::Matrix<T, R, C>, true>::check(const char*, const char*, const Eigen::Matrix<T, R, C>&) [with T = double; int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_finite.hpp:47:59:   required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:70:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:192:25:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpExp_namespace::model_dpExp>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/subtract.hpp:34:12:   required from 'Eigen::Matrix<typename stan::return_type<T1, T2>::type, R, C> stan::math::subtract(const T1&, const Eigen::Matrix<T2, R, C>&) [with T1 = int; T2 = double; int R = -1; int C = 1; typename stan::return_type<T1, T2>::type = double]'
stanExports_dpExp.h:71:87:   required from 'Eigen::Matrix<typename boost::math::tools::promote_args<T>::type, -1, 1> model_dpExp_namespace::break_that_stick(const Eigen::Matrix<Scalar, -1, 1>&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args<T>::type = double; std::ostream = std::basic_ostream<char>]'
stanExports_dpExp.h:414:61:   required from 'void model_dpExp_namespace::model_dpExp::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:26:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::blas_data_mapper<double, int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 1; int Mode = 2]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:108:49:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
                                                              ^~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:46:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:294:10:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:862:7:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from 'class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:229:3:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with IndexType = int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:7:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:46:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:58:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:34:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:248:23:   required from 'int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = stan::optimization::ModelAdaptor<model_dpExp_namespace::model_dpExp>; Scalar = double; XType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:210:28:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpExp_namespace::model_dpExp>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpExp_namespace::model_dpExp>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpExp_namespace::model_dpExp>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpExp_namespace::model_dpExp>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpExp_namespace::model_dpExp>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpExp_namespace::model_dpExp>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20:   required from 'void stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::search_direction(stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:255:5:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpExp_namespace::model_dpExp>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:9:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = int; int mr = 2; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:244:34:   required from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7:   required from 'class Eigen::InverseImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::SolverStorage>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:12:   required from 'static void Eigen::internal::compute_inverse<MatrixType, ResultType, Size>::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Size = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:14:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:862:7:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1337:8:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)0>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:19:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77:   required from 'static stan::math::apply_scalar_unary<F, T>::return_t stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/log.hpp:40:47:   required from 'typename stan::math::apply_scalar_unary<stan::math::log_fun, T>::return_t stan::math::log(const T&) [with T = Eigen::Matrix<double, -1, 1>; typename stan::math::apply_scalar_unary<stan::math::log_fun, T>::return_t = Eigen::Matrix<double, -1, 1>]'
stanExports_dpExp.h:306:54:   required from 'T__ model_dpExp_namespace::model_dpExp::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:200:35:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpExp_namespace::model_dpExp>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:26:42:   required from 'double stan::math::internal::log_sum_exp_as_double(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:33:45:   required from 'stan::math::internal::log_sum_exp_matrix_vari::log_sum_exp_matrix_vari(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:48:14:   required from 'stan::math::var stan::math::log_sum_exp(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
stanExports_dpExp.h:331:43:   required from 'T__ model_dpExp_namespace::model_dpExp::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_dpExp_namespace::model_dpExp; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:26:42:   required from 'double stan::math::internal::log_sum_exp_as_double(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:33:45:   required from 'stan::math::internal::log_sum_exp_matrix_vari::log_sum_exp_matrix_vari(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:48:14:   required from 'stan::math::var stan::math::log_sum_exp(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
stanExports_dpExp.h:331:43:   required from 'T__ model_dpExp_namespace::model_dpExp::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_dpExp_namespace::model_dpExp; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:26:55:   required from 'double stan::math::internal::log_sum_exp_as_double(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:33:45:   required from 'stan::math::internal::log_sum_exp_matrix_vari::log_sum_exp_matrix_vari(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:48:14:   required from 'stan::math::var stan::math::log_sum_exp(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
stanExports_dpExp.h:331:43:   required from 'T__ model_dpExp_namespace::model_dpExp::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_dpExp_namespace::model_dpExp; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:7:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/advi.hpp:222:11:   required from 'double stan::variational::advi<Model, Q, BaseRNG>::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_dpExp_namespace::model_dpExp; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/advi.hpp:468:13:   required from 'int stan::variational::advi<Model, Q, BaseRNG>::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_dpExp_namespace::model_dpExp; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:3:   required from 'int stan::services::experimental::advi::meanfield(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:886:18:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:113:35:   required from 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:193:21:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = int; Gemm = Eigen::internal::general_matrix_matrix_product<int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:98:7:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor<double, int, Eigen::internal::general_matrix_matrix_product<int, double, 0, false, double, 0, false, 0, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:456:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
                                                              ^~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; int Pack1 = 2; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:182:17:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = int; Gemm = Eigen::internal::general_matrix_matrix_product<int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:98:7:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor<double, int, Eigen::internal::general_matrix_matrix_product<int, double, 1, false, double, 0, false, 0, 1>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:456:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
             PacketBlock<Packet> kernel;
                                 ^~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; int Pack1 = 2; int Pack2 = 2; bool Conjugate = true; bool PanelMode = false]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:377:28:   required from 'static void Eigen::internal::product_selfadjoint_matrix<Scalar, Index, LhsStorageOrder, true, ConjugateLhs, RhsStorageOrder, false, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = int; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:513:12:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, RhsMode, false>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int RhsMode = 0; Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, RhsMode, false>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:772:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product<int, double, Eigen::internal::const_blas_data_mapper<double, int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, int, 0>, false, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                       ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                       ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                       ^~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/log_sum_exp.hpp:31:24:   required from 'double stan::math::log_sum_exp(const Eigen::Matrix<double, R, C>&) [with int R = -1; int C = 1]'
stanExports_dpExp.h:331:43:   required from 'T__ model_dpExp_namespace::model_dpExp::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:49:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:3:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar) [with Index = int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
                                                              ^~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:200:35:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpExp_namespace::model_dpExp>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpExp_namespace::model_dpExp>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<Scalar1, Scalar2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix<double, -1, -1>; Xpr2 = const Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpExp_namespace::model_dpExp>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product<int, double, Eigen::internal::const_blas_data_mapper<double, int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, int, 1>, false, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                       ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                       ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                       ^~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:35:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:577:9:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Eigen::PartialPivLU<MatrixType> >, Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::PartialPivLU<MatrixType>::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::PartialPivLU<MatrixType>::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Eigen::PartialPivLU<MatrixType> >, Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::PartialPivLU<MatrixType>::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >; typename Eigen::PartialPivLU<MatrixType>::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
                                                              ^~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, false, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; int ProductTag = 8; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
                                                              ^~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:371,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:263:43:   required from 'Index Eigen::internal::blas_data_mapper<Scalar, Index, StorageOrder, AlignmentType, 1>::firstAligned(Index) const [with Scalar = const double; Index = int; int StorageOrder = 0; int AlignmentType = 0]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:9:   required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar) [with Index = int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:10: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9:   required from 'void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:3:   required from 'Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:116:14:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:503,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:772:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
                                                                                                                         ^~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
                                                                                                                         ^~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase<Derived>::Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::MatrixBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:36:   required from 'static void Eigen::internal::compute_inverse<MatrixType, ResultType, Size>::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Size = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:76:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; int Version = 0; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpExp_namespace::model_dpExp>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpExp_namespace::model_dpExp>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpExp_namespace::model_dpExp, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpExp_namespace::model_dpExp; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from 'ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from 'ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; ResultType = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:11:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpExp_namespace::model_dpExp>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:713:74:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpExp_namespace::model_dpExp>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpExp_namespace::model_dpExp, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpExp_namespace::model_dpExp; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpExp_namespace::model_dpExp, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpExp_namespace::model_dpExp; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpExp_namespace::model_dpExp, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpExp_namespace::model_dpExp; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:60:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpExp_namespace::model_dpExp, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpExp_namespace::model_dpExp; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpExp_namespace::model_dpExp, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpExp_namespace::model_dpExp; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:124:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = int; int Mode = 2; bool Conjugate = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpExp_namespace::model_dpExp, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpExp_namespace::model_dpExp; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9:   required from 'void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:3:   required from 'Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:116:14:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from 'ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:5:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpExp_namespace::model_dpExp>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpExp_namespace::model_dpExp, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpExp_namespace::model_dpExp; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpExp_namespace::model_dpExp, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpExp_namespace::model_dpExp; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:18:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = int; int Mode = 2; bool Conjugate = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpExp_namespace::model_dpExp, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpExp_namespace::model_dpExp; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpExp_namespace::model_dpExp]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpExp_namespace::model_dpExp; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpExp.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1009:11:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:76:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:991:19:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:176:21:   required from 'stan::mcmc::sample stan::mcmc::base_nuts<Model, Hamiltonian, Integrator, BaseRNG>::transition(stan::mcmc::sample&, stan::callbacks::logger&) [with Model = model_dpExp_namespace::model_dpExp; Hamiltonian = stan::mcmc::diag_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:79:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:37:   required from 'std::tuple<Eigen::Matrix<double, -1, 1, 0, -1, 1> > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array<bool, size>&, const VectorXd&) const [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10:   required from 'void stan::math::adj_jac_vari<F, Targs>::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from 'double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_dpExp_namespace::model_dpExp; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33:   required from 'std::tuple<Eigen::Matrix<double, -1, 1, 0, -1, 1> > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array<bool, size>&, const VectorXd&) const [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10:   required from 'void stan::math::adj_jac_vari<F, Targs>::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:42:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpExp_namespace::model_dpExp; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpExp_namespace::model_dpExp; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from 'double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_dpExp_namespace::model_dpExp; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33:   required from 'std::tuple<Eigen::Matrix<double, -1, 1, 0, -1, 1> > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array<bool, size>&, const VectorXd&) const [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10:   required from 'void stan::math::adj_jac_vari<F, Targs>::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpExp_namespace::model_dpExp; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpExp_namespace::model_dpExp; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpExp_namespace::model_dpExp; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpExp_namespace::model_dpExp; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpExp_namespace::model_dpExp; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:46,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpExp.h:20,
                 from stanExports_dpExp.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/set_zero_all_adjoints.hpp: At global scope:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/set_zero_all_adjoints.hpp:14:13: warning: 'void stan::math::set_zero_all_adjoints()' defined but not used [-Wunused-function]
 static void set_zero_all_adjoints() {
             ^~~~~~~~~~~~~~~~~~~~~


d:/Compiler/rtools40/mingw32/bin/g++  -std=gnu++14 -I"D:/RCompile/recent/R-4.0.5/include" -DNDEBUG -I"../inst/include" -I"d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1  -I'd:/RCompile/CRANpkg/lib/4.0/BH/include' -I'd:/RCompile/CRANpkg/lib/4.0/Rcpp/include' -I'd:/RCompile/CRANpkg/lib/4.0/RcppEigen/include' -I'd:/RCompile/CRANpkg/lib/4.0/rstan/include' -I'd:/RCompile/CRANpkg/lib/4.0/StanHeaders/include'   -I"d:/Compiler/gcc-4.9.3/local330/include"  -DRCPP_PARALLEL_USE_TBB=1 -I"d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign -c stanExports_dpGauss.cc -o stanExports_dpGauss.o
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:397,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument '__m128' {aka '__vector(4) float'} [-Wignored-attributes]
 template<> struct is_arithmetic<__m128>  { enum { value = true }; };
                                       ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument '__m128i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 template<> struct is_arithmetic<__m128i> { enum { value = true }; };
                                        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument '__m128d' {aka '__vector(2) double'} [-Wignored-attributes]
 template<> struct is_arithmetic<__m128d> { enum { value = true }; };
                                        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
                                           ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
                                           ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
                                           ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
 struct palign_impl<Offset,Packet4f>
                                   ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 struct palign_impl<Offset,Packet4i>
                                   ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
 struct palign_impl<Offset,Packet2d>
                                   ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet4f,4>& kernel) {
                                  ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet2d,2>& kernel) {
                                  ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet4i,4>& kernel) {
                                  ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:377,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<int, -1>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:101:22:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) long long int>::half' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<int, 1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, 1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, 1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:101:22:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Array<int, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Ref<Eigen::Array<int, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Array<int, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from 'class Eigen::Ref<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:694:17:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__vector(4) float'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<float>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     explicit shared_count( std::auto_ptr<Y> & r ): pi_( new sp_counted_impl_p<Y>( r.get() ) )
                                 ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpGauss.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:250:65: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
 template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R >
                                                                 ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpGauss.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:507:31: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     explicit shared_ptr( std::auto_ptr<Y> & r ): px(r.get()), pn()
                               ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpGauss.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:520:22: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     shared_ptr( std::auto_ptr<Y> && r ): px(r.get()), pn()
                      ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpGauss.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:603:34: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     shared_ptr & operator=( std::auto_ptr<Y> & r )
                                  ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpGauss.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:612:34: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     shared_ptr & operator=( std::auto_ptr<Y> && r )
                                  ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpGauss.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function 'boost::shared_ptr<T>& boost::shared_ptr<T>::operator=(std::auto_ptr<_Up>&&)':
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:614:38: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
         this_type( static_cast< std::auto_ptr<Y> && >( r ) ).swap( *this );
                                      ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpGauss.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/aux_/na_assert.hpp:23,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/arg.hpp:25,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/placeholders.hpp:24,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/iterator/iterator_categories.hpp:16,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/iterator/iterator_facade.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/range/iterator_range_core.hpp:27,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/lexical_cast.hpp:30,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_args.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:20,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/assert.hpp: At global scope:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of 'assert_arg' [-Wparentheses]
 failed ************ (Pred::************
                     ^
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of 'assert_not_arg' [-Wparentheses]
 failed ************ (boost::mpl::not_<Pred>::************
                     ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/SparseCore:37,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Sparse:26,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:14,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1065:84: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_root_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_root_proxy& ) {
                                                                                    ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpGauss.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1069:84: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_root_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_root_proxy& ) {
                                                                                    ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpGauss.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1074:99: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_root_with_context_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_root_with_context_proxy& p ) {
                                                                                                   ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpGauss.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1078:99: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_root_with_context_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_root_with_context_proxy& p ) {
                                                                                                   ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpGauss.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1083:94: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_continuation_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_continuation_proxy& p ) {
                                                                                              ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpGauss.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1087:94: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_continuation_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_continuation_proxy& p ) {
                                                                                              ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpGauss.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1091:87: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_child_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_child_proxy& p ) {
                                                                                       ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpGauss.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1095:87: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_child_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_child_proxy& p ) {
                                                                                       ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpGauss.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1099:101: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_additional_child_of_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_additional_child_of_proxy& p ) {
                                                                                                     ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpGauss.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1103:101: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_additional_child_of_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_additional_child_of_proxy& p ) {
                                                                                                     ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpGauss.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:20:14:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:23:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:49,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isinf.hpp:16:42: warning: optimization attribute on 'int std::isinf(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isinf(const stan::math::var& a) {
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpGauss.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:597:3: note: previous definition of 'constexpr bool std::isinf(long double)' was here
   isinf(long double __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:49,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isinf.hpp:16:42: warning: optimization attribute on 'int std::isinf(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isinf(const stan::math::var& a) {
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpGauss.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:592:3: note: previous definition of 'constexpr bool std::isinf(double)' was here
   isinf(double __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:49,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isinf.hpp:16:42: warning: optimization attribute on 'int std::isinf(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isinf(const stan::math::var& a) {
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpGauss.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:584:3: note: previous definition of 'constexpr bool std::isinf(float)' was here
   isinf(float __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:50,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isnan.hpp:18:42: warning: optimization attribute on 'int std::isnan(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isnan(const stan::math::var& a) { return isnan(a.val()); }
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpGauss.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:624:3: note: previous definition of 'constexpr bool std::isnan(long double)' was here
   isnan(long double __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:50,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isnan.hpp:18:42: warning: optimization attribute on 'int std::isnan(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isnan(const stan::math::var& a) { return isnan(a.val()); }
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpGauss.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:619:3: note: previous definition of 'constexpr bool std::isnan(double)' was here
   isnan(double __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:50,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isnan.hpp:18:42: warning: optimization attribute on 'int std::isnan(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isnan(const stan::math::var& a) { return isnan(a.val()); }
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpGauss.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:611:3: note: previous definition of 'constexpr bool std::isnan(float)' was here
   isnan(float __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:30:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:34:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:113:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:23:60:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/to_row_vector.hpp:30:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:13:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:26:31:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:19:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:37:40:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:28:37:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/categorical_logit_glm_lpmf.hpp:134:15:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:5,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:278,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp: In function 'stan::return_type_t<T1, T2> stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&)':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:60:74: warning: typedef 'using T_partials_vec = struct Eigen::Matrix<typename stan::partials_return_type<T_prob, T_prior_size>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   using T_partials_vec = typename Eigen::Matrix<T_partials_return, -1, 1>;
                                                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:44:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:76:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:89:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/wishart_rng.hpp:32:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_rng.hpp:24:17:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:64:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76:   recursively required by substitution of 'template<int Side, class Other> const Eigen::internal::triangular_solve_retval<Side, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Other> Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6, Eigen::Dense>::solve<Side, Other>(const Eigen::MatrixBase<U>&) const [with int Side = <missing>; Other = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54:   required from 'struct Eigen::internal::accessors_level<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:43:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:52:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_rng.hpp:70:50:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_prec_rng.hpp:83:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37:   recursively required by substitution of 'template<class ThenDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, ThenDerived, typename ThenDerived::ConstantReturnType> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >::select<ThenDerived>(const Eigen::DenseBase<Derived>&, const typename ThenDerived::Scalar&) const [with ThenDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:52:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:60:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:127:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:134:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >::select<ElseDerived>(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >::select<ElseDerived>(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:139:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:77:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:78:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >::select<ElseDerived>(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:164:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:166:50:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_log.hpp:5,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:328,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp: In function 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&)':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp:55:34: warning: typedef 'using T_alpha_val = std::conditional_t<stan::is_vector<T4>::value, Eigen::Array<typename stan::partials_return_type<T_alpha>::type, -1, 1>, typename stan::partials_return_type<T_alpha>::type>' locally defined but not used [-Wunused-local-typedefs]
       partials_return_t<T_alpha>>;
                                  ^
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/invocation/invoke.hpp:52,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/adapter/fused.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/generation/make_fused.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/include/make_fused.hpp:11,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint/util/resize.hpp:28,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint.hpp:25,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/arr/functor/integrate_ode_rk45.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/arr.hpp:34,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:336,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/get_pointer.hpp: At global scope:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/get_pointer.hpp:48:40: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
 template<class T> T * get_pointer(std::auto_ptr<T> const& p)
                                        ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpGauss.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:6:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:107:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:109:60:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:148:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:149:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:156:22:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from 'class Eigen::Ref<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:60:10:   required from 'class Eigen::LLT<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41:   required from 'struct Eigen::internal::mapbase_evaluator<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:896:8:   required from 'struct Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8:   required from 'struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:44:26:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >::match<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:200:63:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:21:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:44:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:41:18:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7:   required from 'class Eigen::InverseImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:18:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/grad.hpp:28:13:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:43:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:39:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:43:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_determinant_spd.hpp:38:44:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:68:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:74:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:62:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:20:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 6>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 6>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:205:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, 1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, 1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, 1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:437:22:   required from 'class Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:34:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:119:62:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:171:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left_tri.hpp:107:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:33:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:42:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:35:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:31:9:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:51,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp: In static member function 'static double stan::math::internal::squared_distance_vv_vari::var_squared_distance(const Eigen::Matrix<stan::math::var, R, C>&, const Eigen::Matrix<stan::math::var, R2, C2, (AutoAlign | (((R2 == 1) && (C2 != 1)) ? RowMajor : (((C2 == 1) && (R2 != 1)) ? ColMajor :  ColMajor))), R2, C2>&)':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:27:54: warning: typedef 'using idx_t = using type = Eigen::EigenBase<Eigen::Matrix<stan::math::var, -1, -1> >::Index' locally defined but not used [-Wunused-local-typedefs]
     using idx_t = typename index_type<matrix_v>::type;
                                                      ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from 'class Eigen::Ref<const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:67:44:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:68:9:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:51,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp: In static member function 'static double stan::math::internal::squared_distance_vd_vari::var_squared_distance(const Eigen::Matrix<stan::math::var, R, C>&, const Eigen::Matrix<double, R2, C2>&)':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:64:54: warning: typedef 'using idx_t = using type = Eigen::EigenBase<Eigen::Matrix<double, -1, -1> >::Index' locally defined but not used [-Wunused-local-typedefs]
     using idx_t = typename index_type<matrix_d>::type;
                                                      ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sum.hpp:21:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:28:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:59:23:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:61:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:38:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59:   recursively required by substitution of 'template<class OtherDerived> typename Eigen::ScalarBinaryOpTraits<double, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<double, typename Eigen::internal::traits<T>::Scalar> >::ReturnType Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >::dot<OtherDerived>(const Eigen::MatrixBase<Derived>&) const [with OtherDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:63:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:61:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:65:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:19:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:22:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:60:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:56:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from stanExports_dpGauss.cc:5:
stanExports_dpGauss.h: In member function 'virtual void model_dpGauss_namespace::model_dpGauss::transform_inits(const stan::io::var_context&, std::vector<int>&, std::vector<double>&, std::ostream*) const':
stanExports_dpGauss.h:182:24: warning: typedef 'local_scalar_t__' locally defined but not used [-Wunused-local-typedefs]
         typedef double local_scalar_t__;
                        ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:227:48:   required from 'void Eigen::DenseBase<Derived>::transposeInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:24:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:44:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:52:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:40:61:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/to_matrix.hpp:122:17:   required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::to_matrix(const std::vector<T>&, int, int) [with T = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:74:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:52,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector<unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<unsigned int> >&) [with T = unsigned int]':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:97:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<unsigned int> >::size_type' {aka 'unsigned int'} [-Wsign-compare]
     for (int i = 0; i < dims.size(); i++) {
                     ~~^~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector<unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<unsigned int> >&) [with T = int]':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:118:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<unsigned int> >::size_type' {aka 'unsigned int'} [-Wsign-compare]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Eigen::ArrayBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp: In instantiation of 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]':
stanExports_dpGauss.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1238:9: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
     int ret = stan::services::error_codes::CONFIG;
         ^~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:244:25:   required from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:39:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:65:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:22:   required from 'Eigen::Matrix<Scalar, -1, 1> stan::math::softmax(const Eigen::Matrix<Scalar, -1, 1>&) [with T = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21:   required from 'Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array<bool, size>&, const VectorXd&) [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70:   required from 'auto stan::math::adj_jac_vari<F, Targs>::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15:   required from 'auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:9:   required from 'Eigen::Matrix<Scalar, -1, 1> stan::math::softmax(const Eigen::Matrix<Scalar, -1, 1>&) [with T = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21:   required from 'Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array<bool, size>&, const VectorXd&) [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70:   required from 'auto stan::math::adj_jac_vari<F, Targs>::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15:   required from 'auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:37:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:52,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]':
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:91:22: warning: comparison of integer expressions of different signedness: 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'unsigned int'} and 'Eigen::Index' {aka 'int'} [-Wsign-compare]
   if (p_names.size() != draws.cols()) {
       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:109:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'unsigned int'} and 'Eigen::Index' {aka 'int'} [-Wsign-compare]
   for (size_t i = 0; i < draws.rows(); ++i) {
                      ~~^~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:113:65:   required from 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                         ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                         ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                         ^~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:27:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_cholesky_factor.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:9,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_less_or_equal.hpp: In instantiation of 'static void stan::math::internal::less_or_equal<T_y, T_high, is_vec>::check(const char*, const char*, const T_y&, const T_high&) [with T_y = unsigned int; T_high = int; bool is_vec = false]':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_less_or_equal.hpp:64:74:   required from 'void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&) [with T_y = unsigned int; T_high = int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:79:36:   required from 'std::vector<unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<unsigned int> >&) [with T = int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:118:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_less_or_equal.hpp:19:15: warning: comparison of integer expressions of different signedness: 'const unsigned int' and 'int' [-Wsign-compare]
       if (!(y <= high_vec[n])) {
            ~~~^~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:52,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<unsigned int> >&) [with Model = model_dpGauss_namespace::model_dpGauss]':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:105:23:   required from 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:41:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<unsigned int>::size_type' {aka 'unsigned int'} [-Wsign-compare]
     for (int j = 0; j < dimss[i].size(); ++j)
                     ~~^~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = int; DataMapper = Eigen::internal::blas_data_mapper<double, int, 0, 0, 1>; int mr = 2; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar = double]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:21: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
                     ^~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 16>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = int; int mr = 2; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = int; int mr = 2; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<int, int>; Derived = Eigen::internal::redux_evaluator<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<int, int>; Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:24:21:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:351:41:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:39:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; U = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:25:   required from 'static double stan::math::internal::dot_product_vari<T1, T2>::var_dot(stan::math::vari**, stan::math::vari**, size_t) [with T1 = stan::math::var; T2 = stan::math::var; size_t = unsigned int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:129:21:   required from 'stan::math::internal::dot_product_vari<T1, T2>::dot_product_vari(typename stan::math::internal::dot_product_store_type<T1>::type, typename stan::math::internal::dot_product_store_type<T2>::type, size_t) [with T1 = stan::math::var; T2 = stan::math::var; typename stan::math::internal::dot_product_store_type<T1>::type = stan::math::vari**; typename stan::math::internal::dot_product_store_type<T2>::type = stan::math::vari**; size_t = unsigned int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/tcrossprod.hpp:49:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:43:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:144:30:   required from 'bool Eigen::DenseBase<Derived>::hasNaN() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:158:10:   required from 'bool Eigen::DenseBase<Derived>::allFinite() const [with Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_finite.hpp:30:9:   required from 'static void stan::math::internal::finite<Eigen::Matrix<T, R, C>, true>::check(const char*, const char*, const Eigen::Matrix<T, R, C>&) [with T = double; int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_finite.hpp:47:59:   required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:70:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:192:25:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpGauss_namespace::model_dpGauss>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/subtract.hpp:34:12:   required from 'Eigen::Matrix<typename stan::return_type<T1, T2>::type, R, C> stan::math::subtract(const T1&, const Eigen::Matrix<T2, R, C>&) [with T1 = int; T2 = double; int R = -1; int C = 1; typename stan::return_type<T1, T2>::type = double]'
stanExports_dpGauss.h:71:87:   required from 'Eigen::Matrix<typename boost::math::tools::promote_args<T>::type, -1, 1> model_dpGauss_namespace::break_that_stick(const Eigen::Matrix<Scalar, -1, 1>&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args<T>::type = double; std::ostream = std::basic_ostream<char>]'
stanExports_dpGauss.h:452:61:   required from 'void model_dpGauss_namespace::model_dpGauss::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:26:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::blas_data_mapper<double, int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 1; int Mode = 2]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:108:49:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
                                                              ^~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:46:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:294:10:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:862:7:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from 'class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:229:3:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with IndexType = int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:7:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:46:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:58:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:34:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:248:23:   required from 'int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = stan::optimization::ModelAdaptor<model_dpGauss_namespace::model_dpGauss>; Scalar = double; XType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:210:28:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpGauss_namespace::model_dpGauss>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpGauss_namespace::model_dpGauss>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpGauss_namespace::model_dpGauss>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpGauss_namespace::model_dpGauss>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpGauss_namespace::model_dpGauss>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpGauss_namespace::model_dpGauss>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20:   required from 'void stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::search_direction(stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:255:5:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpGauss_namespace::model_dpGauss>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:9:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = int; int mr = 2; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:244:34:   required from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7:   required from 'class Eigen::InverseImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::SolverStorage>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:12:   required from 'static void Eigen::internal::compute_inverse<MatrixType, ResultType, Size>::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Size = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:14:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:862:7:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1337:8:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)0>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:19:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77:   required from 'static stan::math::apply_scalar_unary<F, T>::return_t stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/log.hpp:40:47:   required from 'typename stan::math::apply_scalar_unary<stan::math::log_fun, T>::return_t stan::math::log(const T&) [with T = Eigen::Matrix<double, -1, 1>; typename stan::math::apply_scalar_unary<stan::math::log_fun, T>::return_t = Eigen::Matrix<double, -1, 1>]'
stanExports_dpGauss.h:333:54:   required from 'T__ model_dpGauss_namespace::model_dpGauss::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:200:35:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpGauss_namespace::model_dpGauss>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:26:42:   required from 'double stan::math::internal::log_sum_exp_as_double(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:33:45:   required from 'stan::math::internal::log_sum_exp_matrix_vari::log_sum_exp_matrix_vari(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:48:14:   required from 'stan::math::var stan::math::log_sum_exp(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
stanExports_dpGauss.h:360:43:   required from 'T__ model_dpGauss_namespace::model_dpGauss::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_dpGauss_namespace::model_dpGauss; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:26:42:   required from 'double stan::math::internal::log_sum_exp_as_double(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:33:45:   required from 'stan::math::internal::log_sum_exp_matrix_vari::log_sum_exp_matrix_vari(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:48:14:   required from 'stan::math::var stan::math::log_sum_exp(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
stanExports_dpGauss.h:360:43:   required from 'T__ model_dpGauss_namespace::model_dpGauss::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_dpGauss_namespace::model_dpGauss; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:26:55:   required from 'double stan::math::internal::log_sum_exp_as_double(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:33:45:   required from 'stan::math::internal::log_sum_exp_matrix_vari::log_sum_exp_matrix_vari(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:48:14:   required from 'stan::math::var stan::math::log_sum_exp(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
stanExports_dpGauss.h:360:43:   required from 'T__ model_dpGauss_namespace::model_dpGauss::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_dpGauss_namespace::model_dpGauss; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:7:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/advi.hpp:222:11:   required from 'double stan::variational::advi<Model, Q, BaseRNG>::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_dpGauss_namespace::model_dpGauss; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/advi.hpp:468:13:   required from 'int stan::variational::advi<Model, Q, BaseRNG>::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_dpGauss_namespace::model_dpGauss; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:3:   required from 'int stan::services::experimental::advi::meanfield(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:886:18:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:113:35:   required from 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:193:21:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = int; Gemm = Eigen::internal::general_matrix_matrix_product<int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:98:7:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor<double, int, Eigen::internal::general_matrix_matrix_product<int, double, 0, false, double, 0, false, 0, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:456:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
                                                              ^~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; int Pack1 = 2; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:182:17:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = int; Gemm = Eigen::internal::general_matrix_matrix_product<int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:98:7:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor<double, int, Eigen::internal::general_matrix_matrix_product<int, double, 1, false, double, 0, false, 0, 1>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:456:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
             PacketBlock<Packet> kernel;
                                 ^~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; int Pack1 = 2; int Pack2 = 2; bool Conjugate = true; bool PanelMode = false]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:377:28:   required from 'static void Eigen::internal::product_selfadjoint_matrix<Scalar, Index, LhsStorageOrder, true, ConjugateLhs, RhsStorageOrder, false, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = int; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:513:12:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, RhsMode, false>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int RhsMode = 0; Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, RhsMode, false>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:772:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product<int, double, Eigen::internal::const_blas_data_mapper<double, int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, int, 0>, false, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                       ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                       ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                       ^~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/log_sum_exp.hpp:31:24:   required from 'double stan::math::log_sum_exp(const Eigen::Matrix<double, R, C>&) [with int R = -1; int C = 1]'
stanExports_dpGauss.h:360:43:   required from 'T__ model_dpGauss_namespace::model_dpGauss::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:49:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:3:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar) [with Index = int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
                                                              ^~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:200:35:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpGauss_namespace::model_dpGauss>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpGauss_namespace::model_dpGauss>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<Scalar1, Scalar2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix<double, -1, -1>; Xpr2 = const Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpGauss_namespace::model_dpGauss>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product<int, double, Eigen::internal::const_blas_data_mapper<double, int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, int, 1>, false, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                       ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                       ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                       ^~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:35:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:577:9:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Eigen::PartialPivLU<MatrixType> >, Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::PartialPivLU<MatrixType>::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::PartialPivLU<MatrixType>::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Eigen::PartialPivLU<MatrixType> >, Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::PartialPivLU<MatrixType>::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >; typename Eigen::PartialPivLU<MatrixType>::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
                                                              ^~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, false, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; int ProductTag = 8; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
                                                              ^~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:371,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:263:43:   required from 'Index Eigen::internal::blas_data_mapper<Scalar, Index, StorageOrder, AlignmentType, 1>::firstAligned(Index) const [with Scalar = const double; Index = int; int StorageOrder = 0; int AlignmentType = 0]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:9:   required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar) [with Index = int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:10: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9:   required from 'void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:3:   required from 'Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:116:14:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:503,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:772:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
                                                                                                                         ^~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
                                                                                                                         ^~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase<Derived>::Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::MatrixBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:36:   required from 'static void Eigen::internal::compute_inverse<MatrixType, ResultType, Size>::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Size = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:76:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; int Version = 0; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpGauss_namespace::model_dpGauss>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpGauss_namespace::model_dpGauss>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpGauss_namespace::model_dpGauss, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpGauss_namespace::model_dpGauss; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from 'ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from 'ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; ResultType = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:11:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpGauss_namespace::model_dpGauss>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:713:74:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpGauss_namespace::model_dpGauss>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpGauss_namespace::model_dpGauss, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpGauss_namespace::model_dpGauss; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpGauss_namespace::model_dpGauss, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpGauss_namespace::model_dpGauss; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpGauss_namespace::model_dpGauss, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpGauss_namespace::model_dpGauss; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:60:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpGauss_namespace::model_dpGauss, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpGauss_namespace::model_dpGauss; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpGauss_namespace::model_dpGauss, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpGauss_namespace::model_dpGauss; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:124:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = int; int Mode = 2; bool Conjugate = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpGauss_namespace::model_dpGauss, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpGauss_namespace::model_dpGauss; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9:   required from 'void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:3:   required from 'Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:116:14:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from 'ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:5:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpGauss_namespace::model_dpGauss>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpGauss_namespace::model_dpGauss, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpGauss_namespace::model_dpGauss; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpGauss_namespace::model_dpGauss, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpGauss_namespace::model_dpGauss; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:18:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = int; int Mode = 2; bool Conjugate = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpGauss_namespace::model_dpGauss, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpGauss_namespace::model_dpGauss; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpGauss_namespace::model_dpGauss]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpGauss_namespace::model_dpGauss; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpGauss.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1009:11:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:76:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:991:19:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:176:21:   required from 'stan::mcmc::sample stan::mcmc::base_nuts<Model, Hamiltonian, Integrator, BaseRNG>::transition(stan::mcmc::sample&, stan::callbacks::logger&) [with Model = model_dpGauss_namespace::model_dpGauss; Hamiltonian = stan::mcmc::diag_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:79:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:37:   required from 'std::tuple<Eigen::Matrix<double, -1, 1, 0, -1, 1> > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array<bool, size>&, const VectorXd&) const [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10:   required from 'void stan::math::adj_jac_vari<F, Targs>::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from 'double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_dpGauss_namespace::model_dpGauss; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33:   required from 'std::tuple<Eigen::Matrix<double, -1, 1, 0, -1, 1> > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array<bool, size>&, const VectorXd&) const [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10:   required from 'void stan::math::adj_jac_vari<F, Targs>::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:42:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpGauss_namespace::model_dpGauss; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpGauss_namespace::model_dpGauss; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from 'double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_dpGauss_namespace::model_dpGauss; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33:   required from 'std::tuple<Eigen::Matrix<double, -1, 1, 0, -1, 1> > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array<bool, size>&, const VectorXd&) const [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10:   required from 'void stan::math::adj_jac_vari<F, Targs>::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpGauss_namespace::model_dpGauss; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpGauss_namespace::model_dpGauss; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpGauss_namespace::model_dpGauss; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpGauss_namespace::model_dpGauss; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpGauss_namespace::model_dpGauss; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:46,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpGauss.h:20,
                 from stanExports_dpGauss.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/set_zero_all_adjoints.hpp: At global scope:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/set_zero_all_adjoints.hpp:14:13: warning: 'void stan::math::set_zero_all_adjoints()' defined but not used [-Wunused-function]
 static void set_zero_all_adjoints() {
             ^~~~~~~~~~~~~~~~~~~~~


d:/Compiler/rtools40/mingw32/bin/g++  -std=gnu++14 -I"D:/RCompile/recent/R-4.0.5/include" -DNDEBUG -I"../inst/include" -I"d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1  -I'd:/RCompile/CRANpkg/lib/4.0/BH/include' -I'd:/RCompile/CRANpkg/lib/4.0/Rcpp/include' -I'd:/RCompile/CRANpkg/lib/4.0/RcppEigen/include' -I'd:/RCompile/CRANpkg/lib/4.0/rstan/include' -I'd:/RCompile/CRANpkg/lib/4.0/StanHeaders/include'   -I"d:/Compiler/gcc-4.9.3/local330/include"  -DRCPP_PARALLEL_USE_TBB=1 -I"d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign -c stanExports_dpHNormal.cc -o stanExports_dpHNormal.o
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:397,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument '__m128' {aka '__vector(4) float'} [-Wignored-attributes]
 template<> struct is_arithmetic<__m128>  { enum { value = true }; };
                                       ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument '__m128i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 template<> struct is_arithmetic<__m128i> { enum { value = true }; };
                                        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument '__m128d' {aka '__vector(2) double'} [-Wignored-attributes]
 template<> struct is_arithmetic<__m128d> { enum { value = true }; };
                                        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
                                           ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
                                           ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
                                           ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
 struct palign_impl<Offset,Packet4f>
                                   ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 struct palign_impl<Offset,Packet4i>
                                   ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
 struct palign_impl<Offset,Packet2d>
                                   ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet4f,4>& kernel) {
                                  ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet2d,2>& kernel) {
                                  ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet4i,4>& kernel) {
                                  ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:377,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<int, -1>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:101:22:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) long long int>::half' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<int, 1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, 1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, 1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:101:22:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Array<int, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Ref<Eigen::Array<int, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Array<int, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from 'class Eigen::Ref<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:694:17:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__vector(4) float'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<float>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     explicit shared_count( std::auto_ptr<Y> & r ): pi_( new sp_counted_impl_p<Y>( r.get() ) )
                                 ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormal.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:250:65: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
 template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R >
                                                                 ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormal.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:507:31: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     explicit shared_ptr( std::auto_ptr<Y> & r ): px(r.get()), pn()
                               ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormal.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:520:22: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     shared_ptr( std::auto_ptr<Y> && r ): px(r.get()), pn()
                      ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormal.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:603:34: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     shared_ptr & operator=( std::auto_ptr<Y> & r )
                                  ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormal.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:612:34: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     shared_ptr & operator=( std::auto_ptr<Y> && r )
                                  ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormal.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function 'boost::shared_ptr<T>& boost::shared_ptr<T>::operator=(std::auto_ptr<_Up>&&)':
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:614:38: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
         this_type( static_cast< std::auto_ptr<Y> && >( r ) ).swap( *this );
                                      ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormal.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/aux_/na_assert.hpp:23,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/arg.hpp:25,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/placeholders.hpp:24,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/iterator/iterator_categories.hpp:16,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/iterator/iterator_facade.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/range/iterator_range_core.hpp:27,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/lexical_cast.hpp:30,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_args.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:20,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/assert.hpp: At global scope:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of 'assert_arg' [-Wparentheses]
 failed ************ (Pred::************
                     ^
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of 'assert_not_arg' [-Wparentheses]
 failed ************ (boost::mpl::not_<Pred>::************
                     ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/SparseCore:37,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Sparse:26,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:14,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1065:84: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_root_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_root_proxy& ) {
                                                                                    ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormal.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1069:84: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_root_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_root_proxy& ) {
                                                                                    ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormal.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1074:99: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_root_with_context_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_root_with_context_proxy& p ) {
                                                                                                   ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormal.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1078:99: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_root_with_context_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_root_with_context_proxy& p ) {
                                                                                                   ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormal.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1083:94: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_continuation_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_continuation_proxy& p ) {
                                                                                              ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormal.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1087:94: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_continuation_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_continuation_proxy& p ) {
                                                                                              ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormal.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1091:87: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_child_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_child_proxy& p ) {
                                                                                       ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormal.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1095:87: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_child_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_child_proxy& p ) {
                                                                                       ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormal.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1099:101: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_additional_child_of_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_additional_child_of_proxy& p ) {
                                                                                                     ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormal.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1103:101: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_additional_child_of_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_additional_child_of_proxy& p ) {
                                                                                                     ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormal.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:20:14:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:23:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:49,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isinf.hpp:16:42: warning: optimization attribute on 'int std::isinf(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isinf(const stan::math::var& a) {
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormal.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:597:3: note: previous definition of 'constexpr bool std::isinf(long double)' was here
   isinf(long double __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:49,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isinf.hpp:16:42: warning: optimization attribute on 'int std::isinf(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isinf(const stan::math::var& a) {
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormal.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:592:3: note: previous definition of 'constexpr bool std::isinf(double)' was here
   isinf(double __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:49,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isinf.hpp:16:42: warning: optimization attribute on 'int std::isinf(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isinf(const stan::math::var& a) {
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormal.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:584:3: note: previous definition of 'constexpr bool std::isinf(float)' was here
   isinf(float __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:50,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isnan.hpp:18:42: warning: optimization attribute on 'int std::isnan(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isnan(const stan::math::var& a) { return isnan(a.val()); }
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormal.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:624:3: note: previous definition of 'constexpr bool std::isnan(long double)' was here
   isnan(long double __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:50,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isnan.hpp:18:42: warning: optimization attribute on 'int std::isnan(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isnan(const stan::math::var& a) { return isnan(a.val()); }
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormal.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:619:3: note: previous definition of 'constexpr bool std::isnan(double)' was here
   isnan(double __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:50,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isnan.hpp:18:42: warning: optimization attribute on 'int std::isnan(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isnan(const stan::math::var& a) { return isnan(a.val()); }
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormal.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:611:3: note: previous definition of 'constexpr bool std::isnan(float)' was here
   isnan(float __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:30:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:34:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:113:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:23:60:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/to_row_vector.hpp:30:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:13:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:26:31:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:19:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:37:40:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:28:37:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/categorical_logit_glm_lpmf.hpp:134:15:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:5,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:278,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp: In function 'stan::return_type_t<T1, T2> stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&)':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:60:74: warning: typedef 'using T_partials_vec = struct Eigen::Matrix<typename stan::partials_return_type<T_prob, T_prior_size>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   using T_partials_vec = typename Eigen::Matrix<T_partials_return, -1, 1>;
                                                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:44:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:76:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:89:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/wishart_rng.hpp:32:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_rng.hpp:24:17:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:64:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76:   recursively required by substitution of 'template<int Side, class Other> const Eigen::internal::triangular_solve_retval<Side, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Other> Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6, Eigen::Dense>::solve<Side, Other>(const Eigen::MatrixBase<U>&) const [with int Side = <missing>; Other = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54:   required from 'struct Eigen::internal::accessors_level<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:43:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:52:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_rng.hpp:70:50:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_prec_rng.hpp:83:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37:   recursively required by substitution of 'template<class ThenDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, ThenDerived, typename ThenDerived::ConstantReturnType> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >::select<ThenDerived>(const Eigen::DenseBase<Derived>&, const typename ThenDerived::Scalar&) const [with ThenDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:52:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:60:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:127:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:134:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >::select<ElseDerived>(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >::select<ElseDerived>(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:139:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:77:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:78:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >::select<ElseDerived>(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:164:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:166:50:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_log.hpp:5,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:328,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp: In function 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&)':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp:55:34: warning: typedef 'using T_alpha_val = std::conditional_t<stan::is_vector<T4>::value, Eigen::Array<typename stan::partials_return_type<T_alpha>::type, -1, 1>, typename stan::partials_return_type<T_alpha>::type>' locally defined but not used [-Wunused-local-typedefs]
       partials_return_t<T_alpha>>;
                                  ^
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/invocation/invoke.hpp:52,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/adapter/fused.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/generation/make_fused.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/include/make_fused.hpp:11,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint/util/resize.hpp:28,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint.hpp:25,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/arr/functor/integrate_ode_rk45.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/arr.hpp:34,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:336,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/get_pointer.hpp: At global scope:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/get_pointer.hpp:48:40: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
 template<class T> T * get_pointer(std::auto_ptr<T> const& p)
                                        ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormal.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:6:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:107:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:109:60:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:148:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:149:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:156:22:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from 'class Eigen::Ref<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:60:10:   required from 'class Eigen::LLT<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41:   required from 'struct Eigen::internal::mapbase_evaluator<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:896:8:   required from 'struct Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8:   required from 'struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:44:26:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >::match<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:200:63:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:21:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:44:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:41:18:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7:   required from 'class Eigen::InverseImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:18:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/grad.hpp:28:13:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:43:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:39:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:43:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_determinant_spd.hpp:38:44:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:68:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:74:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:62:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:20:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 6>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 6>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:205:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, 1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, 1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, 1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:437:22:   required from 'class Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:34:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:119:62:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:171:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left_tri.hpp:107:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:33:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:42:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:35:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:31:9:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:51,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp: In static member function 'static double stan::math::internal::squared_distance_vv_vari::var_squared_distance(const Eigen::Matrix<stan::math::var, R, C>&, const Eigen::Matrix<stan::math::var, R2, C2, (AutoAlign | (((R2 == 1) && (C2 != 1)) ? RowMajor : (((C2 == 1) && (R2 != 1)) ? ColMajor :  ColMajor))), R2, C2>&)':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:27:54: warning: typedef 'using idx_t = using type = Eigen::EigenBase<Eigen::Matrix<stan::math::var, -1, -1> >::Index' locally defined but not used [-Wunused-local-typedefs]
     using idx_t = typename index_type<matrix_v>::type;
                                                      ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from 'class Eigen::Ref<const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:67:44:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:68:9:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:51,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp: In static member function 'static double stan::math::internal::squared_distance_vd_vari::var_squared_distance(const Eigen::Matrix<stan::math::var, R, C>&, const Eigen::Matrix<double, R2, C2>&)':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:64:54: warning: typedef 'using idx_t = using type = Eigen::EigenBase<Eigen::Matrix<double, -1, -1> >::Index' locally defined but not used [-Wunused-local-typedefs]
     using idx_t = typename index_type<matrix_d>::type;
                                                      ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sum.hpp:21:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:28:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:59:23:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:61:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:38:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59:   recursively required by substitution of 'template<class OtherDerived> typename Eigen::ScalarBinaryOpTraits<double, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<double, typename Eigen::internal::traits<T>::Scalar> >::ReturnType Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >::dot<OtherDerived>(const Eigen::MatrixBase<Derived>&) const [with OtherDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:63:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:61:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:65:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:19:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:22:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:60:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:56:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from stanExports_dpHNormal.cc:5:
stanExports_dpHNormal.h: In member function 'virtual void model_dpHNormal_namespace::model_dpHNormal::transform_inits(const stan::io::var_context&, std::vector<int>&, std::vector<double>&, std::ostream*) const':
stanExports_dpHNormal.h:182:24: warning: typedef 'local_scalar_t__' locally defined but not used [-Wunused-local-typedefs]
         typedef double local_scalar_t__;
                        ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:227:48:   required from 'void Eigen::DenseBase<Derived>::transposeInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:24:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:44:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:52:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:40:61:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/to_matrix.hpp:122:17:   required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::to_matrix(const std::vector<T>&, int, int) [with T = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:74:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:52,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector<unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<unsigned int> >&) [with T = unsigned int]':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:97:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<unsigned int> >::size_type' {aka 'unsigned int'} [-Wsign-compare]
     for (int i = 0; i < dims.size(); i++) {
                     ~~^~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector<unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<unsigned int> >&) [with T = int]':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:118:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<unsigned int> >::size_type' {aka 'unsigned int'} [-Wsign-compare]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Eigen::ArrayBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp: In instantiation of 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]':
stanExports_dpHNormal.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1238:9: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
     int ret = stan::services::error_codes::CONFIG;
         ^~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:244:25:   required from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:39:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:65:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:22:   required from 'Eigen::Matrix<Scalar, -1, 1> stan::math::softmax(const Eigen::Matrix<Scalar, -1, 1>&) [with T = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21:   required from 'Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array<bool, size>&, const VectorXd&) [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70:   required from 'auto stan::math::adj_jac_vari<F, Targs>::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15:   required from 'auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:9:   required from 'Eigen::Matrix<Scalar, -1, 1> stan::math::softmax(const Eigen::Matrix<Scalar, -1, 1>&) [with T = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21:   required from 'Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array<bool, size>&, const VectorXd&) [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70:   required from 'auto stan::math::adj_jac_vari<F, Targs>::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15:   required from 'auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:37:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:52,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]':
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:91:22: warning: comparison of integer expressions of different signedness: 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'unsigned int'} and 'Eigen::Index' {aka 'int'} [-Wsign-compare]
   if (p_names.size() != draws.cols()) {
       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:109:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'unsigned int'} and 'Eigen::Index' {aka 'int'} [-Wsign-compare]
   for (size_t i = 0; i < draws.rows(); ++i) {
                      ~~^~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:113:65:   required from 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                         ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                         ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                         ^~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:27:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_cholesky_factor.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:9,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_less_or_equal.hpp: In instantiation of 'static void stan::math::internal::less_or_equal<T_y, T_high, is_vec>::check(const char*, const char*, const T_y&, const T_high&) [with T_y = unsigned int; T_high = int; bool is_vec = false]':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_less_or_equal.hpp:64:74:   required from 'void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&) [with T_y = unsigned int; T_high = int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:79:36:   required from 'std::vector<unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<unsigned int> >&) [with T = int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:118:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_less_or_equal.hpp:19:15: warning: comparison of integer expressions of different signedness: 'const unsigned int' and 'int' [-Wsign-compare]
       if (!(y <= high_vec[n])) {
            ~~~^~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:52,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<unsigned int> >&) [with Model = model_dpHNormal_namespace::model_dpHNormal]':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:105:23:   required from 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:41:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<unsigned int>::size_type' {aka 'unsigned int'} [-Wsign-compare]
     for (int j = 0; j < dimss[i].size(); ++j)
                     ~~^~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = int; DataMapper = Eigen::internal::blas_data_mapper<double, int, 0, 0, 1>; int mr = 2; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar = double]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:21: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
                     ^~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 16>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = int; int mr = 2; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = int; int mr = 2; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<int, int>; Derived = Eigen::internal::redux_evaluator<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<int, int>; Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:24:21:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:351:41:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:39:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; U = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:25:   required from 'static double stan::math::internal::dot_product_vari<T1, T2>::var_dot(stan::math::vari**, stan::math::vari**, size_t) [with T1 = stan::math::var; T2 = stan::math::var; size_t = unsigned int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:129:21:   required from 'stan::math::internal::dot_product_vari<T1, T2>::dot_product_vari(typename stan::math::internal::dot_product_store_type<T1>::type, typename stan::math::internal::dot_product_store_type<T2>::type, size_t) [with T1 = stan::math::var; T2 = stan::math::var; typename stan::math::internal::dot_product_store_type<T1>::type = stan::math::vari**; typename stan::math::internal::dot_product_store_type<T2>::type = stan::math::vari**; size_t = unsigned int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/tcrossprod.hpp:49:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:43:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:144:30:   required from 'bool Eigen::DenseBase<Derived>::hasNaN() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:158:10:   required from 'bool Eigen::DenseBase<Derived>::allFinite() const [with Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_finite.hpp:30:9:   required from 'static void stan::math::internal::finite<Eigen::Matrix<T, R, C>, true>::check(const char*, const char*, const Eigen::Matrix<T, R, C>&) [with T = double; int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_finite.hpp:47:59:   required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:70:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:192:25:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormal_namespace::model_dpHNormal>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/subtract.hpp:34:12:   required from 'Eigen::Matrix<typename stan::return_type<T1, T2>::type, R, C> stan::math::subtract(const T1&, const Eigen::Matrix<T2, R, C>&) [with T1 = int; T2 = double; int R = -1; int C = 1; typename stan::return_type<T1, T2>::type = double]'
stanExports_dpHNormal.h:71:87:   required from 'Eigen::Matrix<typename boost::math::tools::promote_args<T>::type, -1, 1> model_dpHNormal_namespace::break_that_stick(const Eigen::Matrix<Scalar, -1, 1>&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args<T>::type = double; std::ostream = std::basic_ostream<char>]'
stanExports_dpHNormal.h:455:61:   required from 'void model_dpHNormal_namespace::model_dpHNormal::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:26:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77:   required from 'static stan::math::apply_scalar_unary<F, T>::return_t stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/log.hpp:40:47:   required from 'typename stan::math::apply_scalar_unary<stan::math::log_fun, T>::return_t stan::math::log(const T&) [with T = Eigen::Matrix<double, -1, 1>; typename stan::math::apply_scalar_unary<stan::math::log_fun, T>::return_t = Eigen::Matrix<double, -1, 1>]'
stanExports_dpHNormal.h:484:54:   required from 'void model_dpHNormal_namespace::model_dpHNormal::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:26:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::exp_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::exp_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::exp_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::exp_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::exp_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77:   required from 'static stan::math::apply_scalar_unary<F, T>::return_t stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/exp.hpp:41:47:   required from 'typename stan::math::apply_scalar_unary<stan::math::exp_fun, T>::return_t stan::math::exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; typename stan::math::apply_scalar_unary<stan::math::exp_fun, T>::return_t = Eigen::Matrix<double, -1, 1>]'
stanExports_dpHNormal.h:500:57:   required from 'void model_dpHNormal_namespace::model_dpHNormal::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:26:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::blas_data_mapper<double, int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 1; int Mode = 2]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:108:49:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
                                                              ^~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:46:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:294:10:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:862:7:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from 'class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:229:3:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with IndexType = int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:7:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:46:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:58:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:34:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:248:23:   required from 'int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormal_namespace::model_dpHNormal>; Scalar = double; XType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:210:28:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormal_namespace::model_dpHNormal>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormal_namespace::model_dpHNormal>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormal_namespace::model_dpHNormal>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormal_namespace::model_dpHNormal>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormal_namespace::model_dpHNormal>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormal_namespace::model_dpHNormal>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20:   required from 'void stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::search_direction(stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:255:5:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormal_namespace::model_dpHNormal>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:9:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = int; int mr = 2; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:244:34:   required from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7:   required from 'class Eigen::InverseImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::SolverStorage>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:12:   required from 'static void Eigen::internal::compute_inverse<MatrixType, ResultType, Size>::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Size = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:14:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:862:7:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1337:8:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)0>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:19:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:200:35:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormal_namespace::model_dpHNormal>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:26:42:   required from 'double stan::math::internal::log_sum_exp_as_double(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:33:45:   required from 'stan::math::internal::log_sum_exp_matrix_vari::log_sum_exp_matrix_vari(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:48:14:   required from 'stan::math::var stan::math::log_sum_exp(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
stanExports_dpHNormal.h:360:43:   required from 'T__ model_dpHNormal_namespace::model_dpHNormal::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_dpHNormal_namespace::model_dpHNormal; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:26:42:   required from 'double stan::math::internal::log_sum_exp_as_double(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:33:45:   required from 'stan::math::internal::log_sum_exp_matrix_vari::log_sum_exp_matrix_vari(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:48:14:   required from 'stan::math::var stan::math::log_sum_exp(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
stanExports_dpHNormal.h:360:43:   required from 'T__ model_dpHNormal_namespace::model_dpHNormal::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_dpHNormal_namespace::model_dpHNormal; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:26:55:   required from 'double stan::math::internal::log_sum_exp_as_double(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:33:45:   required from 'stan::math::internal::log_sum_exp_matrix_vari::log_sum_exp_matrix_vari(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:48:14:   required from 'stan::math::var stan::math::log_sum_exp(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
stanExports_dpHNormal.h:360:43:   required from 'T__ model_dpHNormal_namespace::model_dpHNormal::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_dpHNormal_namespace::model_dpHNormal; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:7:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/advi.hpp:222:11:   required from 'double stan::variational::advi<Model, Q, BaseRNG>::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_dpHNormal_namespace::model_dpHNormal; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/advi.hpp:468:13:   required from 'int stan::variational::advi<Model, Q, BaseRNG>::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_dpHNormal_namespace::model_dpHNormal; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:3:   required from 'int stan::services::experimental::advi::meanfield(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:886:18:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:113:35:   required from 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:193:21:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = int; Gemm = Eigen::internal::general_matrix_matrix_product<int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:98:7:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor<double, int, Eigen::internal::general_matrix_matrix_product<int, double, 0, false, double, 0, false, 0, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:456:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
                                                              ^~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; int Pack1 = 2; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:182:17:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = int; Gemm = Eigen::internal::general_matrix_matrix_product<int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:98:7:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor<double, int, Eigen::internal::general_matrix_matrix_product<int, double, 1, false, double, 0, false, 0, 1>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:456:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
             PacketBlock<Packet> kernel;
                                 ^~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; int Pack1 = 2; int Pack2 = 2; bool Conjugate = true; bool PanelMode = false]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:377:28:   required from 'static void Eigen::internal::product_selfadjoint_matrix<Scalar, Index, LhsStorageOrder, true, ConjugateLhs, RhsStorageOrder, false, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = int; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:513:12:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, RhsMode, false>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int RhsMode = 0; Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, RhsMode, false>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:772:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product<int, double, Eigen::internal::const_blas_data_mapper<double, int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, int, 0>, false, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                       ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                       ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                       ^~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/log_sum_exp.hpp:31:24:   required from 'double stan::math::log_sum_exp(const Eigen::Matrix<double, R, C>&) [with int R = -1; int C = 1]'
stanExports_dpHNormal.h:360:43:   required from 'T__ model_dpHNormal_namespace::model_dpHNormal::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:49:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:3:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar) [with Index = int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
                                                              ^~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:200:35:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormal_namespace::model_dpHNormal>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormal_namespace::model_dpHNormal>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<Scalar1, Scalar2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix<double, -1, -1>; Xpr2 = const Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormal_namespace::model_dpHNormal>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product<int, double, Eigen::internal::const_blas_data_mapper<double, int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, int, 1>, false, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                       ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                       ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                       ^~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:35:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:577:9:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Eigen::PartialPivLU<MatrixType> >, Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::PartialPivLU<MatrixType>::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::PartialPivLU<MatrixType>::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Eigen::PartialPivLU<MatrixType> >, Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::PartialPivLU<MatrixType>::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >; typename Eigen::PartialPivLU<MatrixType>::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
                                                              ^~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, false, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; int ProductTag = 8; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
                                                              ^~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:371,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:263:43:   required from 'Index Eigen::internal::blas_data_mapper<Scalar, Index, StorageOrder, AlignmentType, 1>::firstAligned(Index) const [with Scalar = const double; Index = int; int StorageOrder = 0; int AlignmentType = 0]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:9:   required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar) [with Index = int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:10: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9:   required from 'void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:3:   required from 'Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:116:14:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:503,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:772:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
                                                                                                                         ^~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
                                                                                                                         ^~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase<Derived>::Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::MatrixBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:36:   required from 'static void Eigen::internal::compute_inverse<MatrixType, ResultType, Size>::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Size = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:76:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; int Version = 0; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormal_namespace::model_dpHNormal>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormal_namespace::model_dpHNormal>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpHNormal_namespace::model_dpHNormal, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpHNormal_namespace::model_dpHNormal; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from 'ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from 'ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; ResultType = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:11:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormal_namespace::model_dpHNormal>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:713:74:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormal_namespace::model_dpHNormal>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpHNormal_namespace::model_dpHNormal, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpHNormal_namespace::model_dpHNormal; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpHNormal_namespace::model_dpHNormal, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpHNormal_namespace::model_dpHNormal; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpHNormal_namespace::model_dpHNormal, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpHNormal_namespace::model_dpHNormal; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:60:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpHNormal_namespace::model_dpHNormal, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpHNormal_namespace::model_dpHNormal; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpHNormal_namespace::model_dpHNormal, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpHNormal_namespace::model_dpHNormal; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:124:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = int; int Mode = 2; bool Conjugate = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpHNormal_namespace::model_dpHNormal, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpHNormal_namespace::model_dpHNormal; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9:   required from 'void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:3:   required from 'Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:116:14:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from 'ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:5:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormal_namespace::model_dpHNormal>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpHNormal_namespace::model_dpHNormal, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpHNormal_namespace::model_dpHNormal; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpHNormal_namespace::model_dpHNormal, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpHNormal_namespace::model_dpHNormal; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:18:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = int; int Mode = 2; bool Conjugate = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpHNormal_namespace::model_dpHNormal, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpHNormal_namespace::model_dpHNormal; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormal_namespace::model_dpHNormal]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormal_namespace::model_dpHNormal; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormal.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1009:11:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:76:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:991:19:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:176:21:   required from 'stan::mcmc::sample stan::mcmc::base_nuts<Model, Hamiltonian, Integrator, BaseRNG>::transition(stan::mcmc::sample&, stan::callbacks::logger&) [with Model = model_dpHNormal_namespace::model_dpHNormal; Hamiltonian = stan::mcmc::diag_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:79:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:37:   required from 'std::tuple<Eigen::Matrix<double, -1, 1, 0, -1, 1> > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array<bool, size>&, const VectorXd&) const [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10:   required from 'void stan::math::adj_jac_vari<F, Targs>::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from 'double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_dpHNormal_namespace::model_dpHNormal; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33:   required from 'std::tuple<Eigen::Matrix<double, -1, 1, 0, -1, 1> > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array<bool, size>&, const VectorXd&) const [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10:   required from 'void stan::math::adj_jac_vari<F, Targs>::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:42:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpHNormal_namespace::model_dpHNormal; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpHNormal_namespace::model_dpHNormal; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from 'double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_dpHNormal_namespace::model_dpHNormal; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33:   required from 'std::tuple<Eigen::Matrix<double, -1, 1, 0, -1, 1> > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array<bool, size>&, const VectorXd&) const [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10:   required from 'void stan::math::adj_jac_vari<F, Targs>::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpHNormal_namespace::model_dpHNormal; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpHNormal_namespace::model_dpHNormal; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpHNormal_namespace::model_dpHNormal; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpHNormal_namespace::model_dpHNormal; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpHNormal_namespace::model_dpHNormal; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:46,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormal.h:20,
                 from stanExports_dpHNormal.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/set_zero_all_adjoints.hpp: At global scope:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/set_zero_all_adjoints.hpp:14:13: warning: 'void stan::math::set_zero_all_adjoints()' defined but not used [-Wunused-function]
 static void set_zero_all_adjoints() {
             ^~~~~~~~~~~~~~~~~~~~~


d:/Compiler/rtools40/mingw32/bin/g++  -std=gnu++14 -I"D:/RCompile/recent/R-4.0.5/include" -DNDEBUG -I"../inst/include" -I"d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1  -I'd:/RCompile/CRANpkg/lib/4.0/BH/include' -I'd:/RCompile/CRANpkg/lib/4.0/Rcpp/include' -I'd:/RCompile/CRANpkg/lib/4.0/RcppEigen/include' -I'd:/RCompile/CRANpkg/lib/4.0/rstan/include' -I'd:/RCompile/CRANpkg/lib/4.0/StanHeaders/include'   -I"d:/Compiler/gcc-4.9.3/local330/include"  -DRCPP_PARALLEL_USE_TBB=1 -I"d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign -c stanExports_dpHNormalSpike.cc -o stanExports_dpHNormalSpike.o
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:397,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument '__m128' {aka '__vector(4) float'} [-Wignored-attributes]
 template<> struct is_arithmetic<__m128>  { enum { value = true }; };
                                       ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument '__m128i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 template<> struct is_arithmetic<__m128i> { enum { value = true }; };
                                        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument '__m128d' {aka '__vector(2) double'} [-Wignored-attributes]
 template<> struct is_arithmetic<__m128d> { enum { value = true }; };
                                        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
                                           ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
                                           ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
                                           ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
 struct palign_impl<Offset,Packet4f>
                                   ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 struct palign_impl<Offset,Packet4i>
                                   ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
 struct palign_impl<Offset,Packet2d>
                                   ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet4f,4>& kernel) {
                                  ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet2d,2>& kernel) {
                                  ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet4i,4>& kernel) {
                                  ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:377,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<int, -1>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:101:22:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) long long int>::half' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<int, 1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, 1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, 1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:101:22:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Array<int, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Ref<Eigen::Array<int, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Array<int, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from 'class Eigen::Ref<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:694:17:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__vector(4) float'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<float>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     explicit shared_count( std::auto_ptr<Y> & r ): pi_( new sp_counted_impl_p<Y>( r.get() ) )
                                 ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormalSpike.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:250:65: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
 template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R >
                                                                 ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormalSpike.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:507:31: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     explicit shared_ptr( std::auto_ptr<Y> & r ): px(r.get()), pn()
                               ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormalSpike.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:520:22: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     shared_ptr( std::auto_ptr<Y> && r ): px(r.get()), pn()
                      ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormalSpike.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:603:34: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     shared_ptr & operator=( std::auto_ptr<Y> & r )
                                  ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormalSpike.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:612:34: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     shared_ptr & operator=( std::auto_ptr<Y> && r )
                                  ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormalSpike.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function 'boost::shared_ptr<T>& boost::shared_ptr<T>::operator=(std::auto_ptr<_Up>&&)':
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:614:38: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
         this_type( static_cast< std::auto_ptr<Y> && >( r ) ).swap( *this );
                                      ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormalSpike.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/aux_/na_assert.hpp:23,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/arg.hpp:25,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/placeholders.hpp:24,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/iterator/iterator_categories.hpp:16,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/iterator/iterator_facade.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/range/iterator_range_core.hpp:27,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/lexical_cast.hpp:30,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_args.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:20,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/assert.hpp: At global scope:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of 'assert_arg' [-Wparentheses]
 failed ************ (Pred::************
                     ^
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of 'assert_not_arg' [-Wparentheses]
 failed ************ (boost::mpl::not_<Pred>::************
                     ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/SparseCore:37,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Sparse:26,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:14,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1065:84: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_root_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_root_proxy& ) {
                                                                                    ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormalSpike.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1069:84: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_root_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_root_proxy& ) {
                                                                                    ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormalSpike.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1074:99: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_root_with_context_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_root_with_context_proxy& p ) {
                                                                                                   ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormalSpike.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1078:99: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_root_with_context_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_root_with_context_proxy& p ) {
                                                                                                   ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormalSpike.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1083:94: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_continuation_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_continuation_proxy& p ) {
                                                                                              ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormalSpike.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1087:94: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_continuation_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_continuation_proxy& p ) {
                                                                                              ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormalSpike.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1091:87: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_child_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_child_proxy& p ) {
                                                                                       ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormalSpike.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1095:87: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_child_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_child_proxy& p ) {
                                                                                       ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormalSpike.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1099:101: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_additional_child_of_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_additional_child_of_proxy& p ) {
                                                                                                     ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormalSpike.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1103:101: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_additional_child_of_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_additional_child_of_proxy& p ) {
                                                                                                     ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormalSpike.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:20:14:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:23:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:49,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isinf.hpp:16:42: warning: optimization attribute on 'int std::isinf(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isinf(const stan::math::var& a) {
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormalSpike.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:597:3: note: previous definition of 'constexpr bool std::isinf(long double)' was here
   isinf(long double __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:49,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isinf.hpp:16:42: warning: optimization attribute on 'int std::isinf(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isinf(const stan::math::var& a) {
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormalSpike.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:592:3: note: previous definition of 'constexpr bool std::isinf(double)' was here
   isinf(double __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:49,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isinf.hpp:16:42: warning: optimization attribute on 'int std::isinf(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isinf(const stan::math::var& a) {
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormalSpike.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:584:3: note: previous definition of 'constexpr bool std::isinf(float)' was here
   isinf(float __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:50,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isnan.hpp:18:42: warning: optimization attribute on 'int std::isnan(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isnan(const stan::math::var& a) { return isnan(a.val()); }
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormalSpike.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:624:3: note: previous definition of 'constexpr bool std::isnan(long double)' was here
   isnan(long double __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:50,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isnan.hpp:18:42: warning: optimization attribute on 'int std::isnan(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isnan(const stan::math::var& a) { return isnan(a.val()); }
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormalSpike.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:619:3: note: previous definition of 'constexpr bool std::isnan(double)' was here
   isnan(double __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:50,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isnan.hpp:18:42: warning: optimization attribute on 'int std::isnan(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isnan(const stan::math::var& a) { return isnan(a.val()); }
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormalSpike.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:611:3: note: previous definition of 'constexpr bool std::isnan(float)' was here
   isnan(float __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:30:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:34:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:113:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:23:60:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/to_row_vector.hpp:30:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:13:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:26:31:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:19:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:37:40:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:28:37:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/categorical_logit_glm_lpmf.hpp:134:15:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:5,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:278,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp: In function 'stan::return_type_t<T1, T2> stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&)':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:60:74: warning: typedef 'using T_partials_vec = struct Eigen::Matrix<typename stan::partials_return_type<T_prob, T_prior_size>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   using T_partials_vec = typename Eigen::Matrix<T_partials_return, -1, 1>;
                                                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:44:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:76:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:89:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/wishart_rng.hpp:32:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_rng.hpp:24:17:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:64:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76:   recursively required by substitution of 'template<int Side, class Other> const Eigen::internal::triangular_solve_retval<Side, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Other> Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6, Eigen::Dense>::solve<Side, Other>(const Eigen::MatrixBase<U>&) const [with int Side = <missing>; Other = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54:   required from 'struct Eigen::internal::accessors_level<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:43:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:52:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_rng.hpp:70:50:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_prec_rng.hpp:83:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37:   recursively required by substitution of 'template<class ThenDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, ThenDerived, typename ThenDerived::ConstantReturnType> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >::select<ThenDerived>(const Eigen::DenseBase<Derived>&, const typename ThenDerived::Scalar&) const [with ThenDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:52:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:60:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:127:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:134:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >::select<ElseDerived>(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >::select<ElseDerived>(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:139:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:77:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:78:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >::select<ElseDerived>(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:164:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:166:50:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_log.hpp:5,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:328,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp: In function 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&)':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp:55:34: warning: typedef 'using T_alpha_val = std::conditional_t<stan::is_vector<T4>::value, Eigen::Array<typename stan::partials_return_type<T_alpha>::type, -1, 1>, typename stan::partials_return_type<T_alpha>::type>' locally defined but not used [-Wunused-local-typedefs]
       partials_return_t<T_alpha>>;
                                  ^
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/invocation/invoke.hpp:52,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/adapter/fused.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/generation/make_fused.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/include/make_fused.hpp:11,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint/util/resize.hpp:28,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint.hpp:25,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/arr/functor/integrate_ode_rk45.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/arr.hpp:34,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:336,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/get_pointer.hpp: At global scope:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/get_pointer.hpp:48:40: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
 template<class T> T * get_pointer(std::auto_ptr<T> const& p)
                                        ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpHNormalSpike.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:6:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:107:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:109:60:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:148:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:149:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:156:22:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from 'class Eigen::Ref<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:60:10:   required from 'class Eigen::LLT<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41:   required from 'struct Eigen::internal::mapbase_evaluator<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:896:8:   required from 'struct Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8:   required from 'struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:44:26:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >::match<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:200:63:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:21:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:44:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:41:18:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7:   required from 'class Eigen::InverseImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:18:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/grad.hpp:28:13:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:43:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:39:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:43:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_determinant_spd.hpp:38:44:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:68:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:74:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:62:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:20:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 6>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 6>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:205:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, 1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, 1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, 1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:437:22:   required from 'class Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:34:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:119:62:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:171:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left_tri.hpp:107:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:33:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:42:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:35:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:31:9:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:51,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp: In static member function 'static double stan::math::internal::squared_distance_vv_vari::var_squared_distance(const Eigen::Matrix<stan::math::var, R, C>&, const Eigen::Matrix<stan::math::var, R2, C2, (AutoAlign | (((R2 == 1) && (C2 != 1)) ? RowMajor : (((C2 == 1) && (R2 != 1)) ? ColMajor :  ColMajor))), R2, C2>&)':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:27:54: warning: typedef 'using idx_t = using type = Eigen::EigenBase<Eigen::Matrix<stan::math::var, -1, -1> >::Index' locally defined but not used [-Wunused-local-typedefs]
     using idx_t = typename index_type<matrix_v>::type;
                                                      ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from 'class Eigen::Ref<const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:67:44:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:68:9:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:51,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp: In static member function 'static double stan::math::internal::squared_distance_vd_vari::var_squared_distance(const Eigen::Matrix<stan::math::var, R, C>&, const Eigen::Matrix<double, R2, C2>&)':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:64:54: warning: typedef 'using idx_t = using type = Eigen::EigenBase<Eigen::Matrix<double, -1, -1> >::Index' locally defined but not used [-Wunused-local-typedefs]
     using idx_t = typename index_type<matrix_d>::type;
                                                      ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sum.hpp:21:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:28:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:59:23:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:61:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:38:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59:   recursively required by substitution of 'template<class OtherDerived> typename Eigen::ScalarBinaryOpTraits<double, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<double, typename Eigen::internal::traits<T>::Scalar> >::ReturnType Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >::dot<OtherDerived>(const Eigen::MatrixBase<Derived>&) const [with OtherDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:63:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:61:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:65:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:19:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:22:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:60:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:56:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from stanExports_dpHNormalSpike.cc:5:
stanExports_dpHNormalSpike.h: In member function 'virtual void model_dpHNormalSpike_namespace::model_dpHNormalSpike::transform_inits(const stan::io::var_context&, std::vector<int>&, std::vector<double>&, std::ostream*) const':
stanExports_dpHNormalSpike.h:194:24: warning: typedef 'local_scalar_t__' locally defined but not used [-Wunused-local-typedefs]
         typedef double local_scalar_t__;
                        ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:227:48:   required from 'void Eigen::DenseBase<Derived>::transposeInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:24:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:44:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:52:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:40:61:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/to_matrix.hpp:122:17:   required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::to_matrix(const std::vector<T>&, int, int) [with T = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:74:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:52,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector<unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<unsigned int> >&) [with T = unsigned int]':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:97:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<unsigned int> >::size_type' {aka 'unsigned int'} [-Wsign-compare]
     for (int i = 0; i < dims.size(); i++) {
                     ~~^~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector<unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<unsigned int> >&) [with T = int]':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:118:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<unsigned int> >::size_type' {aka 'unsigned int'} [-Wsign-compare]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Eigen::ArrayBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp: In instantiation of 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]':
stanExports_dpHNormalSpike.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1238:9: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
     int ret = stan::services::error_codes::CONFIG;
         ^~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:244:25:   required from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:39:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:65:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:22:   required from 'Eigen::Matrix<Scalar, -1, 1> stan::math::softmax(const Eigen::Matrix<Scalar, -1, 1>&) [with T = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21:   required from 'Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array<bool, size>&, const VectorXd&) [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70:   required from 'auto stan::math::adj_jac_vari<F, Targs>::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15:   required from 'auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:9:   required from 'Eigen::Matrix<Scalar, -1, 1> stan::math::softmax(const Eigen::Matrix<Scalar, -1, 1>&) [with T = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21:   required from 'Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array<bool, size>&, const VectorXd&) [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70:   required from 'auto stan::math::adj_jac_vari<F, Targs>::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15:   required from 'auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:37:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:52,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]':
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:91:22: warning: comparison of integer expressions of different signedness: 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'unsigned int'} and 'Eigen::Index' {aka 'int'} [-Wsign-compare]
   if (p_names.size() != draws.cols()) {
       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:109:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'unsigned int'} and 'Eigen::Index' {aka 'int'} [-Wsign-compare]
   for (size_t i = 0; i < draws.rows(); ++i) {
                      ~~^~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:113:65:   required from 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                         ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                         ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                         ^~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:27:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_cholesky_factor.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:9,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_less_or_equal.hpp: In instantiation of 'static void stan::math::internal::less_or_equal<T_y, T_high, is_vec>::check(const char*, const char*, const T_y&, const T_high&) [with T_y = unsigned int; T_high = int; bool is_vec = false]':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_less_or_equal.hpp:64:74:   required from 'void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&) [with T_y = unsigned int; T_high = int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:79:36:   required from 'std::vector<unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<unsigned int> >&) [with T = int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:118:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_less_or_equal.hpp:19:15: warning: comparison of integer expressions of different signedness: 'const unsigned int' and 'int' [-Wsign-compare]
       if (!(y <= high_vec[n])) {
            ~~~^~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:52,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<unsigned int> >&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:105:23:   required from 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:41:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<unsigned int>::size_type' {aka 'unsigned int'} [-Wsign-compare]
     for (int j = 0; j < dimss[i].size(); ++j)
                     ~~^~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = int; DataMapper = Eigen::internal::blas_data_mapper<double, int, 0, 0, 1>; int mr = 2; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar = double]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:21: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
                     ^~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 16>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = int; int mr = 2; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = int; int mr = 2; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<int, int>; Derived = Eigen::internal::redux_evaluator<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<int, int>; Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:24:21:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:351:41:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:39:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; U = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:25:   required from 'static double stan::math::internal::dot_product_vari<T1, T2>::var_dot(stan::math::vari**, stan::math::vari**, size_t) [with T1 = stan::math::var; T2 = stan::math::var; size_t = unsigned int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:129:21:   required from 'stan::math::internal::dot_product_vari<T1, T2>::dot_product_vari(typename stan::math::internal::dot_product_store_type<T1>::type, typename stan::math::internal::dot_product_store_type<T2>::type, size_t) [with T1 = stan::math::var; T2 = stan::math::var; typename stan::math::internal::dot_product_store_type<T1>::type = stan::math::vari**; typename stan::math::internal::dot_product_store_type<T2>::type = stan::math::vari**; size_t = unsigned int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/tcrossprod.hpp:49:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:43:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:144:30:   required from 'bool Eigen::DenseBase<Derived>::hasNaN() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:158:10:   required from 'bool Eigen::DenseBase<Derived>::allFinite() const [with Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_finite.hpp:30:9:   required from 'static void stan::math::internal::finite<Eigen::Matrix<T, R, C>, true>::check(const char*, const char*, const Eigen::Matrix<T, R, C>&) [with T = double; int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_finite.hpp:47:59:   required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:70:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:192:25:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormalSpike_namespace::model_dpHNormalSpike>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/subtract.hpp:34:12:   required from 'Eigen::Matrix<typename stan::return_type<T1, T2>::type, R, C> stan::math::subtract(const T1&, const Eigen::Matrix<T2, R, C>&) [with T1 = int; T2 = double; int R = -1; int C = 1; typename stan::return_type<T1, T2>::type = double]'
stanExports_dpHNormalSpike.h:71:87:   required from 'Eigen::Matrix<typename boost::math::tools::promote_args<T>::type, -1, 1> model_dpHNormalSpike_namespace::break_that_stick(const Eigen::Matrix<Scalar, -1, 1>&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args<T>::type = double; std::ostream = std::basic_ostream<char>]'
stanExports_dpHNormalSpike.h:501:61:   required from 'void model_dpHNormalSpike_namespace::model_dpHNormalSpike::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:26:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77:   required from 'static stan::math::apply_scalar_unary<F, T>::return_t stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/log.hpp:40:47:   required from 'typename stan::math::apply_scalar_unary<stan::math::log_fun, T>::return_t stan::math::log(const T&) [with T = Eigen::Matrix<double, -1, 1>; typename stan::math::apply_scalar_unary<stan::math::log_fun, T>::return_t = Eigen::Matrix<double, -1, 1>]'
stanExports_dpHNormalSpike.h:530:54:   required from 'void model_dpHNormalSpike_namespace::model_dpHNormalSpike::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:26:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::blas_data_mapper<double, int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 1; int Mode = 2]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:108:49:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
                                                              ^~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:46:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:294:10:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:862:7:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from 'class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:229:3:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with IndexType = int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:7:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:46:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:58:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:34:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:248:23:   required from 'int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormalSpike_namespace::model_dpHNormalSpike>; Scalar = double; XType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:210:28:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormalSpike_namespace::model_dpHNormalSpike>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormalSpike_namespace::model_dpHNormalSpike>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormalSpike_namespace::model_dpHNormalSpike>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormalSpike_namespace::model_dpHNormalSpike>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormalSpike_namespace::model_dpHNormalSpike>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormalSpike_namespace::model_dpHNormalSpike>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20:   required from 'void stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::search_direction(stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:255:5:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormalSpike_namespace::model_dpHNormalSpike>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:9:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = int; int mr = 2; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:244:34:   required from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7:   required from 'class Eigen::InverseImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::SolverStorage>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:12:   required from 'static void Eigen::internal::compute_inverse<MatrixType, ResultType, Size>::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Size = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:14:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:862:7:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1337:8:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)0>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:19:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:200:35:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormalSpike_namespace::model_dpHNormalSpike>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:26:42:   required from 'double stan::math::internal::log_sum_exp_as_double(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:33:45:   required from 'stan::math::internal::log_sum_exp_matrix_vari::log_sum_exp_matrix_vari(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:48:14:   required from 'stan::math::var stan::math::log_sum_exp(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
stanExports_dpHNormalSpike.h:399:54:   required from 'T__ model_dpHNormalSpike_namespace::model_dpHNormalSpike::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_dpHNormalSpike_namespace::model_dpHNormalSpike; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:26:42:   required from 'double stan::math::internal::log_sum_exp_as_double(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:33:45:   required from 'stan::math::internal::log_sum_exp_matrix_vari::log_sum_exp_matrix_vari(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:48:14:   required from 'stan::math::var stan::math::log_sum_exp(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
stanExports_dpHNormalSpike.h:399:54:   required from 'T__ model_dpHNormalSpike_namespace::model_dpHNormalSpike::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_dpHNormalSpike_namespace::model_dpHNormalSpike; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:26:55:   required from 'double stan::math::internal::log_sum_exp_as_double(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:33:45:   required from 'stan::math::internal::log_sum_exp_matrix_vari::log_sum_exp_matrix_vari(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:48:14:   required from 'stan::math::var stan::math::log_sum_exp(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
stanExports_dpHNormalSpike.h:399:54:   required from 'T__ model_dpHNormalSpike_namespace::model_dpHNormalSpike::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_dpHNormalSpike_namespace::model_dpHNormalSpike; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:7:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/advi.hpp:222:11:   required from 'double stan::variational::advi<Model, Q, BaseRNG>::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/advi.hpp:468:13:   required from 'int stan::variational::advi<Model, Q, BaseRNG>::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:3:   required from 'int stan::services::experimental::advi::meanfield(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:886:18:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/log_sum_exp.hpp:31:24:   required from 'double stan::math::log_sum_exp(const Eigen::Matrix<double, R, C>&) [with int R = -1; int C = 1]'
stanExports_dpHNormalSpike.h:551:50:   required from 'void model_dpHNormalSpike_namespace::model_dpHNormalSpike::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:26:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:113:35:   required from 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:193:21:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = int; Gemm = Eigen::internal::general_matrix_matrix_product<int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:98:7:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor<double, int, Eigen::internal::general_matrix_matrix_product<int, double, 0, false, double, 0, false, 0, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:456:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
                                                              ^~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; int Pack1 = 2; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:182:17:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = int; Gemm = Eigen::internal::general_matrix_matrix_product<int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:98:7:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor<double, int, Eigen::internal::general_matrix_matrix_product<int, double, 1, false, double, 0, false, 0, 1>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:456:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
             PacketBlock<Packet> kernel;
                                 ^~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; int Pack1 = 2; int Pack2 = 2; bool Conjugate = true; bool PanelMode = false]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:377:28:   required from 'static void Eigen::internal::product_selfadjoint_matrix<Scalar, Index, LhsStorageOrder, true, ConjugateLhs, RhsStorageOrder, false, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = int; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:513:12:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, RhsMode, false>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int RhsMode = 0; Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, RhsMode, false>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:772:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product<int, double, Eigen::internal::const_blas_data_mapper<double, int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, int, 0>, false, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                       ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                       ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                       ^~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:49:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:3:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar) [with Index = int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
                                                              ^~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:200:35:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormalSpike_namespace::model_dpHNormalSpike>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormalSpike_namespace::model_dpHNormalSpike>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<Scalar1, Scalar2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix<double, -1, -1>; Xpr2 = const Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormalSpike_namespace::model_dpHNormalSpike>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product<int, double, Eigen::internal::const_blas_data_mapper<double, int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, int, 1>, false, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                       ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                       ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                       ^~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:35:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:577:9:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Eigen::PartialPivLU<MatrixType> >, Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::PartialPivLU<MatrixType>::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::PartialPivLU<MatrixType>::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Eigen::PartialPivLU<MatrixType> >, Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::PartialPivLU<MatrixType>::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >; typename Eigen::PartialPivLU<MatrixType>::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
                                                              ^~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, false, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; int ProductTag = 8; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
                                                              ^~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:371,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:263:43:   required from 'Index Eigen::internal::blas_data_mapper<Scalar, Index, StorageOrder, AlignmentType, 1>::firstAligned(Index) const [with Scalar = const double; Index = int; int StorageOrder = 0; int AlignmentType = 0]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:9:   required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar) [with Index = int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:10: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9:   required from 'void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:3:   required from 'Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:116:14:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:503,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:772:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
                                                                                                                         ^~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
                                                                                                                         ^~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase<Derived>::Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::MatrixBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:36:   required from 'static void Eigen::internal::compute_inverse<MatrixType, ResultType, Size>::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Size = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:76:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; int Version = 0; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormalSpike_namespace::model_dpHNormalSpike>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormalSpike_namespace::model_dpHNormalSpike>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpHNormalSpike_namespace::model_dpHNormalSpike, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from 'ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from 'ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; ResultType = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:11:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormalSpike_namespace::model_dpHNormalSpike>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:713:74:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormalSpike_namespace::model_dpHNormalSpike>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpHNormalSpike_namespace::model_dpHNormalSpike, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpHNormalSpike_namespace::model_dpHNormalSpike, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpHNormalSpike_namespace::model_dpHNormalSpike, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:60:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpHNormalSpike_namespace::model_dpHNormalSpike, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpHNormalSpike_namespace::model_dpHNormalSpike, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:124:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = int; int Mode = 2; bool Conjugate = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpHNormalSpike_namespace::model_dpHNormalSpike, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9:   required from 'void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:3:   required from 'Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:116:14:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from 'ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:5:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpHNormalSpike_namespace::model_dpHNormalSpike>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpHNormalSpike_namespace::model_dpHNormalSpike, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpHNormalSpike_namespace::model_dpHNormalSpike, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:18:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = int; int Mode = 2; bool Conjugate = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpHNormalSpike_namespace::model_dpHNormalSpike, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpHNormalSpike.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1009:11:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:76:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:991:19:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:176:21:   required from 'stan::mcmc::sample stan::mcmc::base_nuts<Model, Hamiltonian, Integrator, BaseRNG>::transition(stan::mcmc::sample&, stan::callbacks::logger&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; Hamiltonian = stan::mcmc::diag_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:79:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:37:   required from 'std::tuple<Eigen::Matrix<double, -1, 1, 0, -1, 1> > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array<bool, size>&, const VectorXd&) const [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10:   required from 'void stan::math::adj_jac_vari<F, Targs>::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from 'double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33:   required from 'std::tuple<Eigen::Matrix<double, -1, 1, 0, -1, 1> > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array<bool, size>&, const VectorXd&) const [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10:   required from 'void stan::math::adj_jac_vari<F, Targs>::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:42:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from 'double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33:   required from 'std::tuple<Eigen::Matrix<double, -1, 1, 0, -1, 1> > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array<bool, size>&, const VectorXd&) const [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10:   required from 'void stan::math::adj_jac_vari<F, Targs>::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpHNormalSpike_namespace::model_dpHNormalSpike; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:46,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpHNormalSpike.h:20,
                 from stanExports_dpHNormalSpike.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/set_zero_all_adjoints.hpp: At global scope:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/set_zero_all_adjoints.hpp:14:13: warning: 'void stan::math::set_zero_all_adjoints()' defined but not used [-Wunused-function]
 static void set_zero_all_adjoints() {
             ^~~~~~~~~~~~~~~~~~~~~


d:/Compiler/rtools40/mingw32/bin/g++  -std=gnu++14 -I"D:/RCompile/recent/R-4.0.5/include" -DNDEBUG -I"../inst/include" -I"d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1  -I'd:/RCompile/CRANpkg/lib/4.0/BH/include' -I'd:/RCompile/CRANpkg/lib/4.0/Rcpp/include' -I'd:/RCompile/CRANpkg/lib/4.0/RcppEigen/include' -I'd:/RCompile/CRANpkg/lib/4.0/rstan/include' -I'd:/RCompile/CRANpkg/lib/4.0/StanHeaders/include'   -I"d:/Compiler/gcc-4.9.3/local330/include"  -DRCPP_PARALLEL_USE_TBB=1 -I"d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign -c stanExports_dpWeibull.cc -o stanExports_dpWeibull.o
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:397,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument '__m128' {aka '__vector(4) float'} [-Wignored-attributes]
 template<> struct is_arithmetic<__m128>  { enum { value = true }; };
                                       ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument '__m128i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 template<> struct is_arithmetic<__m128i> { enum { value = true }; };
                                        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument '__m128d' {aka '__vector(2) double'} [-Wignored-attributes]
 template<> struct is_arithmetic<__m128d> { enum { value = true }; };
                                        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
                                           ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
                                           ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
                                           ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
 struct palign_impl<Offset,Packet4f>
                                   ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 struct palign_impl<Offset,Packet4i>
                                   ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
 struct palign_impl<Offset,Packet2d>
                                   ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet4f,4>& kernel) {
                                  ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet2d,2>& kernel) {
                                  ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet4i,4>& kernel) {
                                  ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:377,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<int, -1>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:101:22:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) long long int>::half' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<int, 1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, 1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, 1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:101:22:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Array<int, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Ref<Eigen::Array<int, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Array<int, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from 'class Eigen::Ref<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:694:17:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__vector(4) float'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<float>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     explicit shared_count( std::auto_ptr<Y> & r ): pi_( new sp_counted_impl_p<Y>( r.get() ) )
                                 ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpWeibull.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:250:65: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
 template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R >
                                                                 ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpWeibull.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:507:31: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     explicit shared_ptr( std::auto_ptr<Y> & r ): px(r.get()), pn()
                               ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpWeibull.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:520:22: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     shared_ptr( std::auto_ptr<Y> && r ): px(r.get()), pn()
                      ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpWeibull.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:603:34: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     shared_ptr & operator=( std::auto_ptr<Y> & r )
                                  ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpWeibull.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:612:34: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     shared_ptr & operator=( std::auto_ptr<Y> && r )
                                  ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpWeibull.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function 'boost::shared_ptr<T>& boost::shared_ptr<T>::operator=(std::auto_ptr<_Up>&&)':
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:614:38: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
         this_type( static_cast< std::auto_ptr<Y> && >( r ) ).swap( *this );
                                      ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpWeibull.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/aux_/na_assert.hpp:23,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/arg.hpp:25,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/placeholders.hpp:24,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/iterator/iterator_categories.hpp:16,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/iterator/iterator_facade.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/range/iterator_range_core.hpp:27,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/lexical_cast.hpp:30,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_args.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:20,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/assert.hpp: At global scope:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of 'assert_arg' [-Wparentheses]
 failed ************ (Pred::************
                     ^
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of 'assert_not_arg' [-Wparentheses]
 failed ************ (boost::mpl::not_<Pred>::************
                     ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/SparseCore:37,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Sparse:26,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:14,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1065:84: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_root_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_root_proxy& ) {
                                                                                    ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpWeibull.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1069:84: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_root_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_root_proxy& ) {
                                                                                    ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpWeibull.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1074:99: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_root_with_context_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_root_with_context_proxy& p ) {
                                                                                                   ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpWeibull.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1078:99: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_root_with_context_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_root_with_context_proxy& p ) {
                                                                                                   ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpWeibull.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1083:94: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_continuation_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_continuation_proxy& p ) {
                                                                                              ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpWeibull.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1087:94: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_continuation_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_continuation_proxy& p ) {
                                                                                              ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpWeibull.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1091:87: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_child_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_child_proxy& p ) {
                                                                                       ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpWeibull.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1095:87: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_child_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_child_proxy& p ) {
                                                                                       ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpWeibull.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1099:101: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_additional_child_of_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_additional_child_of_proxy& p ) {
                                                                                                     ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpWeibull.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1103:101: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_additional_child_of_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_additional_child_of_proxy& p ) {
                                                                                                     ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpWeibull.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:20:14:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:23:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:49,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isinf.hpp:16:42: warning: optimization attribute on 'int std::isinf(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isinf(const stan::math::var& a) {
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpWeibull.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:597:3: note: previous definition of 'constexpr bool std::isinf(long double)' was here
   isinf(long double __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:49,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isinf.hpp:16:42: warning: optimization attribute on 'int std::isinf(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isinf(const stan::math::var& a) {
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpWeibull.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:592:3: note: previous definition of 'constexpr bool std::isinf(double)' was here
   isinf(double __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:49,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isinf.hpp:16:42: warning: optimization attribute on 'int std::isinf(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isinf(const stan::math::var& a) {
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpWeibull.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:584:3: note: previous definition of 'constexpr bool std::isinf(float)' was here
   isinf(float __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:50,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isnan.hpp:18:42: warning: optimization attribute on 'int std::isnan(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isnan(const stan::math::var& a) { return isnan(a.val()); }
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpWeibull.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:624:3: note: previous definition of 'constexpr bool std::isnan(long double)' was here
   isnan(long double __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:50,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isnan.hpp:18:42: warning: optimization attribute on 'int std::isnan(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isnan(const stan::math::var& a) { return isnan(a.val()); }
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpWeibull.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:619:3: note: previous definition of 'constexpr bool std::isnan(double)' was here
   isnan(double __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:50,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isnan.hpp:18:42: warning: optimization attribute on 'int std::isnan(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isnan(const stan::math::var& a) { return isnan(a.val()); }
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpWeibull.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:611:3: note: previous definition of 'constexpr bool std::isnan(float)' was here
   isnan(float __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:30:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:34:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:113:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:23:60:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/to_row_vector.hpp:30:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:13:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:26:31:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:19:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:37:40:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:28:37:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/categorical_logit_glm_lpmf.hpp:134:15:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:5,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:278,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp: In function 'stan::return_type_t<T1, T2> stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&)':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:60:74: warning: typedef 'using T_partials_vec = struct Eigen::Matrix<typename stan::partials_return_type<T_prob, T_prior_size>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   using T_partials_vec = typename Eigen::Matrix<T_partials_return, -1, 1>;
                                                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:44:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:76:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:89:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/wishart_rng.hpp:32:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_rng.hpp:24:17:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:64:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76:   recursively required by substitution of 'template<int Side, class Other> const Eigen::internal::triangular_solve_retval<Side, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Other> Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6, Eigen::Dense>::solve<Side, Other>(const Eigen::MatrixBase<U>&) const [with int Side = <missing>; Other = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54:   required from 'struct Eigen::internal::accessors_level<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:43:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:52:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_rng.hpp:70:50:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_prec_rng.hpp:83:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37:   recursively required by substitution of 'template<class ThenDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, ThenDerived, typename ThenDerived::ConstantReturnType> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >::select<ThenDerived>(const Eigen::DenseBase<Derived>&, const typename ThenDerived::Scalar&) const [with ThenDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:52:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:60:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:127:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:134:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >::select<ElseDerived>(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >::select<ElseDerived>(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:139:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:77:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:78:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >::select<ElseDerived>(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:164:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:166:50:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_log.hpp:5,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:328,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp: In function 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&)':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp:55:34: warning: typedef 'using T_alpha_val = std::conditional_t<stan::is_vector<T4>::value, Eigen::Array<typename stan::partials_return_type<T_alpha>::type, -1, 1>, typename stan::partials_return_type<T_alpha>::type>' locally defined but not used [-Wunused-local-typedefs]
       partials_return_t<T_alpha>>;
                                  ^
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/invocation/invoke.hpp:52,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/adapter/fused.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/generation/make_fused.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/include/make_fused.hpp:11,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint/util/resize.hpp:28,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint.hpp:25,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/arr/functor/integrate_ode_rk45.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/arr.hpp:34,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:336,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/get_pointer.hpp: At global scope:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/get_pointer.hpp:48:40: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
 template<class T> T * get_pointer(std::auto_ptr<T> const& p)
                                        ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_dpWeibull.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:6:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:107:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:109:60:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:148:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:149:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:156:22:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from 'class Eigen::Ref<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:60:10:   required from 'class Eigen::LLT<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41:   required from 'struct Eigen::internal::mapbase_evaluator<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:896:8:   required from 'struct Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8:   required from 'struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:44:26:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >::match<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:200:63:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:21:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:44:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:41:18:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7:   required from 'class Eigen::InverseImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:18:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/grad.hpp:28:13:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:43:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:39:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:43:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_determinant_spd.hpp:38:44:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:68:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:74:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:62:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:20:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 6>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 6>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:205:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, 1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, 1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, 1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:437:22:   required from 'class Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:34:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:119:62:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:171:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left_tri.hpp:107:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:33:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:42:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:35:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:31:9:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:51,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp: In static member function 'static double stan::math::internal::squared_distance_vv_vari::var_squared_distance(const Eigen::Matrix<stan::math::var, R, C>&, const Eigen::Matrix<stan::math::var, R2, C2, (AutoAlign | (((R2 == 1) && (C2 != 1)) ? RowMajor : (((C2 == 1) && (R2 != 1)) ? ColMajor :  ColMajor))), R2, C2>&)':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:27:54: warning: typedef 'using idx_t = using type = Eigen::EigenBase<Eigen::Matrix<stan::math::var, -1, -1> >::Index' locally defined but not used [-Wunused-local-typedefs]
     using idx_t = typename index_type<matrix_v>::type;
                                                      ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from 'class Eigen::Ref<const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:67:44:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:68:9:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:51,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp: In static member function 'static double stan::math::internal::squared_distance_vd_vari::var_squared_distance(const Eigen::Matrix<stan::math::var, R, C>&, const Eigen::Matrix<double, R2, C2>&)':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:64:54: warning: typedef 'using idx_t = using type = Eigen::EigenBase<Eigen::Matrix<double, -1, -1> >::Index' locally defined but not used [-Wunused-local-typedefs]
     using idx_t = typename index_type<matrix_d>::type;
                                                      ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sum.hpp:21:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:28:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:59:23:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:61:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:38:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59:   recursively required by substitution of 'template<class OtherDerived> typename Eigen::ScalarBinaryOpTraits<double, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<double, typename Eigen::internal::traits<T>::Scalar> >::ReturnType Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >::dot<OtherDerived>(const Eigen::MatrixBase<Derived>&) const [with OtherDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:63:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:61:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:65:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:19:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:22:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:60:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:56:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from stanExports_dpWeibull.cc:5:
stanExports_dpWeibull.h: In member function 'virtual void model_dpWeibull_namespace::model_dpWeibull::transform_inits(const stan::io::var_context&, std::vector<int>&, std::vector<double>&, std::ostream*) const':
stanExports_dpWeibull.h:182:24: warning: typedef 'local_scalar_t__' locally defined but not used [-Wunused-local-typedefs]
         typedef double local_scalar_t__;
                        ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:227:48:   required from 'void Eigen::DenseBase<Derived>::transposeInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:24:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:44:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:52:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:40:61:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/to_matrix.hpp:122:17:   required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::to_matrix(const std::vector<T>&, int, int) [with T = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:74:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:52,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector<unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<unsigned int> >&) [with T = unsigned int]':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:97:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<unsigned int> >::size_type' {aka 'unsigned int'} [-Wsign-compare]
     for (int i = 0; i < dims.size(); i++) {
                     ~~^~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector<unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<unsigned int> >&) [with T = int]':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:118:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<unsigned int> >::size_type' {aka 'unsigned int'} [-Wsign-compare]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Eigen::ArrayBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp: In instantiation of 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]':
stanExports_dpWeibull.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1238:9: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
     int ret = stan::services::error_codes::CONFIG;
         ^~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:244:25:   required from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:39:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:65:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:22:   required from 'Eigen::Matrix<Scalar, -1, 1> stan::math::softmax(const Eigen::Matrix<Scalar, -1, 1>&) [with T = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21:   required from 'Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array<bool, size>&, const VectorXd&) [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70:   required from 'auto stan::math::adj_jac_vari<F, Targs>::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15:   required from 'auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:9:   required from 'Eigen::Matrix<Scalar, -1, 1> stan::math::softmax(const Eigen::Matrix<Scalar, -1, 1>&) [with T = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21:   required from 'Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array<bool, size>&, const VectorXd&) [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70:   required from 'auto stan::math::adj_jac_vari<F, Targs>::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15:   required from 'auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:37:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:52,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]':
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:91:22: warning: comparison of integer expressions of different signedness: 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'unsigned int'} and 'Eigen::Index' {aka 'int'} [-Wsign-compare]
   if (p_names.size() != draws.cols()) {
       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:109:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'unsigned int'} and 'Eigen::Index' {aka 'int'} [-Wsign-compare]
   for (size_t i = 0; i < draws.rows(); ++i) {
                      ~~^~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:113:65:   required from 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                         ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                         ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                         ^~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:27:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_cholesky_factor.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:9,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_less_or_equal.hpp: In instantiation of 'static void stan::math::internal::less_or_equal<T_y, T_high, is_vec>::check(const char*, const char*, const T_y&, const T_high&) [with T_y = unsigned int; T_high = int; bool is_vec = false]':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_less_or_equal.hpp:64:74:   required from 'void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&) [with T_y = unsigned int; T_high = int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:79:36:   required from 'std::vector<unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<unsigned int> >&) [with T = int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:118:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_less_or_equal.hpp:19:15: warning: comparison of integer expressions of different signedness: 'const unsigned int' and 'int' [-Wsign-compare]
       if (!(y <= high_vec[n])) {
            ~~~^~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:52,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<unsigned int> >&) [with Model = model_dpWeibull_namespace::model_dpWeibull]':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:105:23:   required from 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:41:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<unsigned int>::size_type' {aka 'unsigned int'} [-Wsign-compare]
     for (int j = 0; j < dimss[i].size(); ++j)
                     ~~^~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = int; DataMapper = Eigen::internal::blas_data_mapper<double, int, 0, 0, 1>; int mr = 2; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar = double]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:21: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
                     ^~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 16>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = int; int mr = 2; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = int; int mr = 2; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<int, int>; Derived = Eigen::internal::redux_evaluator<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<int, int>; Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:24:21:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:351:41:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:39:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; U = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:25:   required from 'static double stan::math::internal::dot_product_vari<T1, T2>::var_dot(stan::math::vari**, stan::math::vari**, size_t) [with T1 = stan::math::var; T2 = stan::math::var; size_t = unsigned int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:129:21:   required from 'stan::math::internal::dot_product_vari<T1, T2>::dot_product_vari(typename stan::math::internal::dot_product_store_type<T1>::type, typename stan::math::internal::dot_product_store_type<T2>::type, size_t) [with T1 = stan::math::var; T2 = stan::math::var; typename stan::math::internal::dot_product_store_type<T1>::type = stan::math::vari**; typename stan::math::internal::dot_product_store_type<T2>::type = stan::math::vari**; size_t = unsigned int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/tcrossprod.hpp:49:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:43:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:144:30:   required from 'bool Eigen::DenseBase<Derived>::hasNaN() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:158:10:   required from 'bool Eigen::DenseBase<Derived>::allFinite() const [with Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_finite.hpp:30:9:   required from 'static void stan::math::internal::finite<Eigen::Matrix<T, R, C>, true>::check(const char*, const char*, const Eigen::Matrix<T, R, C>&) [with T = double; int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_finite.hpp:47:59:   required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:70:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:192:25:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpWeibull_namespace::model_dpWeibull>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/subtract.hpp:34:12:   required from 'Eigen::Matrix<typename stan::return_type<T1, T2>::type, R, C> stan::math::subtract(const T1&, const Eigen::Matrix<T2, R, C>&) [with T1 = int; T2 = double; int R = -1; int C = 1; typename stan::return_type<T1, T2>::type = double]'
stanExports_dpWeibull.h:71:87:   required from 'Eigen::Matrix<typename boost::math::tools::promote_args<T>::type, -1, 1> model_dpWeibull_namespace::break_that_stick(const Eigen::Matrix<Scalar, -1, 1>&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args<T>::type = double; std::ostream = std::basic_ostream<char>]'
stanExports_dpWeibull.h:455:61:   required from 'void model_dpWeibull_namespace::model_dpWeibull::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:26:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77:   required from 'static stan::math::apply_scalar_unary<F, T>::return_t stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/log.hpp:40:47:   required from 'typename stan::math::apply_scalar_unary<stan::math::log_fun, T>::return_t stan::math::log(const T&) [with T = Eigen::Matrix<double, -1, 1>; typename stan::math::apply_scalar_unary<stan::math::log_fun, T>::return_t = Eigen::Matrix<double, -1, 1>]'
stanExports_dpWeibull.h:484:54:   required from 'void model_dpWeibull_namespace::model_dpWeibull::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:26:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::exp_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::exp_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::exp_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::exp_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::exp_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77:   required from 'static stan::math::apply_scalar_unary<F, T>::return_t stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/exp.hpp:41:47:   required from 'typename stan::math::apply_scalar_unary<stan::math::exp_fun, T>::return_t stan::math::exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; typename stan::math::apply_scalar_unary<stan::math::exp_fun, T>::return_t = Eigen::Matrix<double, -1, 1>]'
stanExports_dpWeibull.h:500:57:   required from 'void model_dpWeibull_namespace::model_dpWeibull::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:26:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::blas_data_mapper<double, int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 1; int Mode = 2]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:108:49:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
                                                              ^~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:46:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:294:10:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:862:7:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from 'class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:229:3:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with IndexType = int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:7:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:46:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:58:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:34:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:248:23:   required from 'int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = stan::optimization::ModelAdaptor<model_dpWeibull_namespace::model_dpWeibull>; Scalar = double; XType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:210:28:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpWeibull_namespace::model_dpWeibull>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpWeibull_namespace::model_dpWeibull>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpWeibull_namespace::model_dpWeibull>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpWeibull_namespace::model_dpWeibull>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpWeibull_namespace::model_dpWeibull>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpWeibull_namespace::model_dpWeibull>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20:   required from 'void stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::search_direction(stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:255:5:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpWeibull_namespace::model_dpWeibull>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:9:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = int; int mr = 2; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:244:34:   required from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7:   required from 'class Eigen::InverseImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::SolverStorage>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:12:   required from 'static void Eigen::internal::compute_inverse<MatrixType, ResultType, Size>::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Size = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:14:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:862:7:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1337:8:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)0>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:19:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:200:35:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpWeibull_namespace::model_dpWeibull>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:26:42:   required from 'double stan::math::internal::log_sum_exp_as_double(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:33:45:   required from 'stan::math::internal::log_sum_exp_matrix_vari::log_sum_exp_matrix_vari(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:48:14:   required from 'stan::math::var stan::math::log_sum_exp(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
stanExports_dpWeibull.h:360:43:   required from 'T__ model_dpWeibull_namespace::model_dpWeibull::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_dpWeibull_namespace::model_dpWeibull; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:26:42:   required from 'double stan::math::internal::log_sum_exp_as_double(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:33:45:   required from 'stan::math::internal::log_sum_exp_matrix_vari::log_sum_exp_matrix_vari(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:48:14:   required from 'stan::math::var stan::math::log_sum_exp(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
stanExports_dpWeibull.h:360:43:   required from 'T__ model_dpWeibull_namespace::model_dpWeibull::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_dpWeibull_namespace::model_dpWeibull; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:26:55:   required from 'double stan::math::internal::log_sum_exp_as_double(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:33:45:   required from 'stan::math::internal::log_sum_exp_matrix_vari::log_sum_exp_matrix_vari(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:48:14:   required from 'stan::math::var stan::math::log_sum_exp(const Eigen::Matrix<stan::math::var, R, C>&) [with int R = -1; int C = 1]'
stanExports_dpWeibull.h:360:43:   required from 'T__ model_dpWeibull_namespace::model_dpWeibull::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_dpWeibull_namespace::model_dpWeibull; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:7:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/advi.hpp:222:11:   required from 'double stan::variational::advi<Model, Q, BaseRNG>::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_dpWeibull_namespace::model_dpWeibull; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/advi.hpp:468:13:   required from 'int stan::variational::advi<Model, Q, BaseRNG>::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_dpWeibull_namespace::model_dpWeibull; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:3:   required from 'int stan::services::experimental::advi::meanfield(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:886:18:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:113:35:   required from 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:193:21:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = int; Gemm = Eigen::internal::general_matrix_matrix_product<int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:98:7:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor<double, int, Eigen::internal::general_matrix_matrix_product<int, double, 0, false, double, 0, false, 0, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:456:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
                                                              ^~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; int Pack1 = 2; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:182:17:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = int; Gemm = Eigen::internal::general_matrix_matrix_product<int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:98:7:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor<double, int, Eigen::internal::general_matrix_matrix_product<int, double, 1, false, double, 0, false, 0, 1>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:456:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
             PacketBlock<Packet> kernel;
                                 ^~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; int Pack1 = 2; int Pack2 = 2; bool Conjugate = true; bool PanelMode = false]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:377:28:   required from 'static void Eigen::internal::product_selfadjoint_matrix<Scalar, Index, LhsStorageOrder, true, ConjugateLhs, RhsStorageOrder, false, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = int; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:513:12:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, RhsMode, false>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int RhsMode = 0; Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, RhsMode, false>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:772:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product<int, double, Eigen::internal::const_blas_data_mapper<double, int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, int, 0>, false, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                       ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                       ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                       ^~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/log_sum_exp.hpp:31:24:   required from 'double stan::math::log_sum_exp(const Eigen::Matrix<double, R, C>&) [with int R = -1; int C = 1]'
stanExports_dpWeibull.h:360:43:   required from 'T__ model_dpWeibull_namespace::model_dpWeibull::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:49:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:3:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar) [with Index = int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
                                                              ^~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:200:35:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpWeibull_namespace::model_dpWeibull>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpWeibull_namespace::model_dpWeibull>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<Scalar1, Scalar2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix<double, -1, -1>; Xpr2 = const Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpWeibull_namespace::model_dpWeibull>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product<int, double, Eigen::internal::const_blas_data_mapper<double, int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, int, 1>, false, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                       ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                       ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                       ^~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:35:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:577:9:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Eigen::PartialPivLU<MatrixType> >, Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::PartialPivLU<MatrixType>::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::PartialPivLU<MatrixType>::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Eigen::PartialPivLU<MatrixType> >, Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::PartialPivLU<MatrixType>::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >; typename Eigen::PartialPivLU<MatrixType>::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
                                                              ^~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, false, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; int ProductTag = 8; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
                                                              ^~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:371,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:263:43:   required from 'Index Eigen::internal::blas_data_mapper<Scalar, Index, StorageOrder, AlignmentType, 1>::firstAligned(Index) const [with Scalar = const double; Index = int; int StorageOrder = 0; int AlignmentType = 0]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:9:   required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar) [with Index = int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:10: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9:   required from 'void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:3:   required from 'Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:116:14:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:503,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:772:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
                                                                                                                         ^~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
                                                                                                                         ^~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase<Derived>::Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::MatrixBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:36:   required from 'static void Eigen::internal::compute_inverse<MatrixType, ResultType, Size>::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Size = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:76:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; int Version = 0; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpWeibull_namespace::model_dpWeibull>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpWeibull_namespace::model_dpWeibull>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpWeibull_namespace::model_dpWeibull, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpWeibull_namespace::model_dpWeibull; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from 'ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from 'ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; ResultType = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:11:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpWeibull_namespace::model_dpWeibull>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:713:74:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpWeibull_namespace::model_dpWeibull>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpWeibull_namespace::model_dpWeibull, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpWeibull_namespace::model_dpWeibull; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpWeibull_namespace::model_dpWeibull, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpWeibull_namespace::model_dpWeibull; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpWeibull_namespace::model_dpWeibull, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpWeibull_namespace::model_dpWeibull; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:60:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpWeibull_namespace::model_dpWeibull, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpWeibull_namespace::model_dpWeibull; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpWeibull_namespace::model_dpWeibull, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpWeibull_namespace::model_dpWeibull; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:124:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = int; int Mode = 2; bool Conjugate = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpWeibull_namespace::model_dpWeibull, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpWeibull_namespace::model_dpWeibull; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9:   required from 'void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:3:   required from 'Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:116:14:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from 'ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:5:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_dpWeibull_namespace::model_dpWeibull>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpWeibull_namespace::model_dpWeibull, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpWeibull_namespace::model_dpWeibull; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpWeibull_namespace::model_dpWeibull, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpWeibull_namespace::model_dpWeibull; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:18:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = int; int Mode = 2; bool Conjugate = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_dpWeibull_namespace::model_dpWeibull, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_dpWeibull_namespace::model_dpWeibull; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_dpWeibull_namespace::model_dpWeibull]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_dpWeibull_namespace::model_dpWeibull; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_dpWeibull.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1009:11:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:76:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:991:19:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:176:21:   required from 'stan::mcmc::sample stan::mcmc::base_nuts<Model, Hamiltonian, Integrator, BaseRNG>::transition(stan::mcmc::sample&, stan::callbacks::logger&) [with Model = model_dpWeibull_namespace::model_dpWeibull; Hamiltonian = stan::mcmc::diag_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:79:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:37:   required from 'std::tuple<Eigen::Matrix<double, -1, 1, 0, -1, 1> > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array<bool, size>&, const VectorXd&) const [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10:   required from 'void stan::math::adj_jac_vari<F, Targs>::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from 'double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_dpWeibull_namespace::model_dpWeibull; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33:   required from 'std::tuple<Eigen::Matrix<double, -1, 1, 0, -1, 1> > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array<bool, size>&, const VectorXd&) const [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10:   required from 'void stan::math::adj_jac_vari<F, Targs>::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:42:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpWeibull_namespace::model_dpWeibull; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpWeibull_namespace::model_dpWeibull; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from 'double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_dpWeibull_namespace::model_dpWeibull; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33:   required from 'std::tuple<Eigen::Matrix<double, -1, 1, 0, -1, 1> > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array<bool, size>&, const VectorXd&) const [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10:   required from 'void stan::math::adj_jac_vari<F, Targs>::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpWeibull_namespace::model_dpWeibull; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpWeibull_namespace::model_dpWeibull; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpWeibull_namespace::model_dpWeibull; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpWeibull_namespace::model_dpWeibull; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_dpWeibull_namespace::model_dpWeibull; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:46,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_dpWeibull.h:20,
                 from stanExports_dpWeibull.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/set_zero_all_adjoints.hpp: At global scope:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/set_zero_all_adjoints.hpp:14:13: warning: 'void stan::math::set_zero_all_adjoints()' defined but not used [-Wunused-function]
 static void set_zero_all_adjoints() {
             ^~~~~~~~~~~~~~~~~~~~~


d:/Compiler/rtools40/mingw32/bin/g++  -std=gnu++14 -I"D:/RCompile/recent/R-4.0.5/include" -DNDEBUG -I"../inst/include" -I"d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1  -I'd:/RCompile/CRANpkg/lib/4.0/BH/include' -I'd:/RCompile/CRANpkg/lib/4.0/Rcpp/include' -I'd:/RCompile/CRANpkg/lib/4.0/RcppEigen/include' -I'd:/RCompile/CRANpkg/lib/4.0/rstan/include' -I'd:/RCompile/CRANpkg/lib/4.0/StanHeaders/include'   -I"d:/Compiler/gcc-4.9.3/local330/include"  -DRCPP_PARALLEL_USE_TBB=1 -I"d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign -c stanExports_redifhm_all.cc -o stanExports_redifhm_all.o
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:397,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument '__m128' {aka '__vector(4) float'} [-Wignored-attributes]
 template<> struct is_arithmetic<__m128>  { enum { value = true }; };
                                       ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument '__m128i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 template<> struct is_arithmetic<__m128i> { enum { value = true }; };
                                        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument '__m128d' {aka '__vector(2) double'} [-Wignored-attributes]
 template<> struct is_arithmetic<__m128d> { enum { value = true }; };
                                        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
                                           ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
                                           ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
                                           ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
 struct palign_impl<Offset,Packet4f>
                                   ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 struct palign_impl<Offset,Packet4i>
                                   ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
 struct palign_impl<Offset,Packet2d>
                                   ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet4f,4>& kernel) {
                                  ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet2d,2>& kernel) {
                                  ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet4i,4>& kernel) {
                                  ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:377,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<int, -1>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:101:22:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) long long int>::half' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<int, 1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, 1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, 1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:101:22:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Array<int, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Ref<Eigen::Array<int, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Array<int, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from 'class Eigen::Ref<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:694:17:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__vector(4) float'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<float>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     explicit shared_count( std::auto_ptr<Y> & r ): pi_( new sp_counted_impl_p<Y>( r.get() ) )
                                 ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_all.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:250:65: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
 template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R >
                                                                 ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_all.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:507:31: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     explicit shared_ptr( std::auto_ptr<Y> & r ): px(r.get()), pn()
                               ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_all.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:520:22: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     shared_ptr( std::auto_ptr<Y> && r ): px(r.get()), pn()
                      ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_all.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:603:34: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     shared_ptr & operator=( std::auto_ptr<Y> & r )
                                  ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_all.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:612:34: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     shared_ptr & operator=( std::auto_ptr<Y> && r )
                                  ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_all.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function 'boost::shared_ptr<T>& boost::shared_ptr<T>::operator=(std::auto_ptr<_Up>&&)':
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:614:38: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
         this_type( static_cast< std::auto_ptr<Y> && >( r ) ).swap( *this );
                                      ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_all.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/aux_/na_assert.hpp:23,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/arg.hpp:25,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/placeholders.hpp:24,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/iterator/iterator_categories.hpp:16,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/iterator/iterator_facade.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/range/iterator_range_core.hpp:27,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/lexical_cast.hpp:30,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_args.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:20,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/assert.hpp: At global scope:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of 'assert_arg' [-Wparentheses]
 failed ************ (Pred::************
                     ^
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of 'assert_not_arg' [-Wparentheses]
 failed ************ (boost::mpl::not_<Pred>::************
                     ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/SparseCore:37,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Sparse:26,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:14,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1065:84: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_root_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_root_proxy& ) {
                                                                                    ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_all.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1069:84: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_root_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_root_proxy& ) {
                                                                                    ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_all.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1074:99: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_root_with_context_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_root_with_context_proxy& p ) {
                                                                                                   ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_all.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1078:99: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_root_with_context_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_root_with_context_proxy& p ) {
                                                                                                   ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_all.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1083:94: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_continuation_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_continuation_proxy& p ) {
                                                                                              ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_all.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1087:94: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_continuation_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_continuation_proxy& p ) {
                                                                                              ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_all.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1091:87: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_child_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_child_proxy& p ) {
                                                                                       ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_all.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1095:87: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_child_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_child_proxy& p ) {
                                                                                       ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_all.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1099:101: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_additional_child_of_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_additional_child_of_proxy& p ) {
                                                                                                     ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_all.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1103:101: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_additional_child_of_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_additional_child_of_proxy& p ) {
                                                                                                     ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_all.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:20:14:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:23:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:49,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isinf.hpp:16:42: warning: optimization attribute on 'int std::isinf(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isinf(const stan::math::var& a) {
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_all.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:597:3: note: previous definition of 'constexpr bool std::isinf(long double)' was here
   isinf(long double __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:49,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isinf.hpp:16:42: warning: optimization attribute on 'int std::isinf(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isinf(const stan::math::var& a) {
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_all.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:592:3: note: previous definition of 'constexpr bool std::isinf(double)' was here
   isinf(double __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:49,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isinf.hpp:16:42: warning: optimization attribute on 'int std::isinf(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isinf(const stan::math::var& a) {
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_all.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:584:3: note: previous definition of 'constexpr bool std::isinf(float)' was here
   isinf(float __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:50,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isnan.hpp:18:42: warning: optimization attribute on 'int std::isnan(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isnan(const stan::math::var& a) { return isnan(a.val()); }
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_all.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:624:3: note: previous definition of 'constexpr bool std::isnan(long double)' was here
   isnan(long double __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:50,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isnan.hpp:18:42: warning: optimization attribute on 'int std::isnan(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isnan(const stan::math::var& a) { return isnan(a.val()); }
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_all.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:619:3: note: previous definition of 'constexpr bool std::isnan(double)' was here
   isnan(double __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:50,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isnan.hpp:18:42: warning: optimization attribute on 'int std::isnan(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isnan(const stan::math::var& a) { return isnan(a.val()); }
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_all.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:611:3: note: previous definition of 'constexpr bool std::isnan(float)' was here
   isnan(float __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:30:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:34:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:113:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:23:60:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/to_row_vector.hpp:30:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:13:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:26:31:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:19:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:37:40:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:28:37:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/categorical_logit_glm_lpmf.hpp:134:15:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:5,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:278,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp: In function 'stan::return_type_t<T1, T2> stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&)':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:60:74: warning: typedef 'using T_partials_vec = struct Eigen::Matrix<typename stan::partials_return_type<T_prob, T_prior_size>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   using T_partials_vec = typename Eigen::Matrix<T_partials_return, -1, 1>;
                                                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:44:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:76:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:89:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/wishart_rng.hpp:32:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_rng.hpp:24:17:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:64:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76:   recursively required by substitution of 'template<int Side, class Other> const Eigen::internal::triangular_solve_retval<Side, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Other> Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6, Eigen::Dense>::solve<Side, Other>(const Eigen::MatrixBase<U>&) const [with int Side = <missing>; Other = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54:   required from 'struct Eigen::internal::accessors_level<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:43:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:52:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_rng.hpp:70:50:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_prec_rng.hpp:83:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37:   recursively required by substitution of 'template<class ThenDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, ThenDerived, typename ThenDerived::ConstantReturnType> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >::select<ThenDerived>(const Eigen::DenseBase<Derived>&, const typename ThenDerived::Scalar&) const [with ThenDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:52:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:60:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:127:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:134:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >::select<ElseDerived>(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >::select<ElseDerived>(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, (Eigen::internal::ComparisonName)0>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:139:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:77:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:78:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >::select<ElseDerived>(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:164:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:166:50:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_log.hpp:5,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:328,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp: In function 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&)':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp:55:34: warning: typedef 'using T_alpha_val = std::conditional_t<stan::is_vector<T4>::value, Eigen::Array<typename stan::partials_return_type<T_alpha>::type, -1, 1>, typename stan::partials_return_type<T_alpha>::type>' locally defined but not used [-Wunused-local-typedefs]
       partials_return_t<T_alpha>>;
                                  ^
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/invocation/invoke.hpp:52,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/adapter/fused.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/generation/make_fused.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/include/make_fused.hpp:11,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint/util/resize.hpp:28,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint.hpp:25,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/arr/functor/integrate_ode_rk45.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/arr.hpp:34,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:336,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/get_pointer.hpp: At global scope:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/get_pointer.hpp:48:40: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
 template<class T> T * get_pointer(std::auto_ptr<T> const& p)
                                        ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_all.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:6:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:107:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:109:60:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:148:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:149:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:156:22:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from 'class Eigen::Ref<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:60:10:   required from 'class Eigen::LLT<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41:   required from 'struct Eigen::internal::mapbase_evaluator<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:896:8:   required from 'struct Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8:   required from 'struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:44:26:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >::match<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:200:63:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:21:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:44:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:41:18:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7:   required from 'class Eigen::InverseImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:18:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/grad.hpp:28:13:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:43:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:39:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:43:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_determinant_spd.hpp:38:44:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:68:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:74:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:62:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:20:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:32:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 6>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 6>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:205:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, 1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, 1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, 1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:437:22:   required from 'class Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:34:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:119:62:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:171:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left_tri.hpp:107:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:33:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:42:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:35:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:31:9:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:51,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp: In static member function 'static double stan::math::internal::squared_distance_vv_vari::var_squared_distance(const Eigen::Matrix<stan::math::var, R, C>&, const Eigen::Matrix<stan::math::var, R2, C2, (AutoAlign | (((R2 == 1) && (C2 != 1)) ? RowMajor : (((C2 == 1) && (R2 != 1)) ? ColMajor :  ColMajor))), R2, C2>&)':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:27:54: warning: typedef 'using idx_t = using type = Eigen::EigenBase<Eigen::Matrix<stan::math::var, -1, -1> >::Index' locally defined but not used [-Wunused-local-typedefs]
     using idx_t = typename index_type<matrix_v>::type;
                                                      ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from 'class Eigen::Ref<const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:67:44:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, 1> > >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:68:9:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:51,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp: In static member function 'static double stan::math::internal::squared_distance_vd_vari::var_squared_distance(const Eigen::Matrix<stan::math::var, R, C>&, const Eigen::Matrix<double, R2, C2>&)':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:64:54: warning: typedef 'using idx_t = using type = Eigen::EigenBase<Eigen::Matrix<double, -1, -1> >::Index' locally defined but not used [-Wunused-local-typedefs]
     using idx_t = typename index_type<matrix_d>::type;
                                                      ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >::val_Op, Eigen::Ref<const Eigen::Matrix<stan::math::var, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sum.hpp:21:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:28:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:59:23:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:61:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:38:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59:   recursively required by substitution of 'template<class OtherDerived> typename Eigen::ScalarBinaryOpTraits<double, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<double, typename Eigen::internal::traits<T>::Scalar> >::ReturnType Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >::dot<OtherDerived>(const Eigen::MatrixBase<Derived>&) const [with OtherDerived = <missing>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:63:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:67:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:61:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:65:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:19:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:22:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:60:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:56:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from stanExports_redifhm_all.cc:5:
stanExports_redifhm_all.h: In member function 'virtual void model_redifhm_all_namespace::model_redifhm_all::transform_inits(const stan::io::var_context&, std::vector<int>&, std::vector<double>&, std::ostream*) const':
stanExports_redifhm_all.h:942:24: warning: typedef 'local_scalar_t__' locally defined but not used [-Wunused-local-typedefs]
         typedef double local_scalar_t__;
                        ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:227:48:   required from 'void Eigen::DenseBase<Derived>::transposeInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:24:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:44:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:52:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:40:61:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/to_matrix.hpp:122:17:   required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::to_matrix(const std::vector<T>&, int, int) [with T = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:74:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:52,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector<unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<unsigned int> >&) [with T = unsigned int]':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:97:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<unsigned int> >::size_type' {aka 'unsigned int'} [-Wsign-compare]
     for (int i = 0; i < dims.size(); i++) {
                     ~~^~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector<unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<unsigned int> >&) [with T = int]':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:118:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<unsigned int> >::size_type' {aka 'unsigned int'} [-Wsign-compare]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Eigen::ArrayBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/to_vector.hpp:17:50:   required from 'Eigen::Matrix<Scalar, -1, 1> stan::math::to_vector(const Eigen::Matrix<T, R, C>&) [with T = double; int R = -1; int C = -1]'
stanExports_redifhm_all.h:877:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp: In instantiation of 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]':
stanExports_redifhm_all.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1238:9: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
     int ret = stan::services::error_codes::CONFIG;
         ^~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:244:25:   required from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:39:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:65:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:22:   required from 'Eigen::Matrix<Scalar, -1, 1> stan::math::softmax(const Eigen::Matrix<Scalar, -1, 1>&) [with T = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21:   required from 'Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array<bool, size>&, const VectorXd&) [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70:   required from 'auto stan::math::adj_jac_vari<F, Targs>::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15:   required from 'auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:9:   required from 'Eigen::Matrix<Scalar, -1, 1> stan::math::softmax(const Eigen::Matrix<Scalar, -1, 1>&) [with T = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21:   required from 'Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array<bool, size>&, const VectorXd&) [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70:   required from 'auto stan::math::adj_jac_vari<F, Targs>::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15:   required from 'auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:37:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/get_base1.hpp:255:39:   required from 'Eigen::Matrix<T, 1, -1> stan::math::get_base1(const Eigen::Matrix<LhsScalar, -1, -1, 0>&, size_t, const char*, size_t) [with T = double; size_t = unsigned int]'
stanExports_redifhm_all.h:566:34:   required from 'std::vector<Eigen::Matrix<typename boost::math::tools::promote_args<T>::type, 1, -1> > model_redifhm_all_namespace::sort_data_by_group(const Eigen::Matrix<LhsScalar, -1, -1, 0>&, const std::vector<int>&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args<T>::type = double; std::ostream = std::basic_ostream<char>]'
stanExports_redifhm_all.h:880:84:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:52,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]':
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:91:22: warning: comparison of integer expressions of different signedness: 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'unsigned int'} and 'Eigen::Index' {aka 'int'} [-Wsign-compare]
   if (p_names.size() != draws.cols()) {
       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:109:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'unsigned int'} and 'Eigen::Index' {aka 'int'} [-Wsign-compare]
   for (size_t i = 0; i < draws.rows(); ++i) {
                      ~~^~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:113:65:   required from 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                         ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                         ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                         ^~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:27:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_cholesky_factor.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:9,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_less_or_equal.hpp: In instantiation of 'static void stan::math::internal::less_or_equal<T_y, T_high, is_vec>::check(const char*, const char*, const T_y&, const T_high&) [with T_y = unsigned int; T_high = int; bool is_vec = false]':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_less_or_equal.hpp:64:74:   required from 'void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&) [with T_y = unsigned int; T_high = int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:79:36:   required from 'std::vector<unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<unsigned int> >&) [with T = int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:118:75:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_less_or_equal.hpp:19:15: warning: comparison of integer expressions of different signedness: 'const unsigned int' and 'int' [-Wsign-compare]
       if (!(y <= high_vec[n])) {
            ~~~^~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, 1, -1>, const Eigen::Matrix<double, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, 1, -1>, const Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, 1, -1>, const Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, 1, -1>, const Eigen::Matrix<double, 1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, 1, -1>, const Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:28:13:   required from 'Eigen::Matrix<typename stan::return_type<T1, T2>::type, R, C> stan::math::add(const Eigen::Matrix<T1, R, C>&, const Eigen::Matrix<T2, R, C>&) [with T1 = double; T2 = double; int R = 1; int C = -1; typename stan::return_type<T1, T2>::type = double]'
stanExports_redifhm_all.h:1922:42:   required from 'void model_redifhm_all_namespace::model_redifhm_all::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:26:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:28:13:   required from 'Eigen::Matrix<typename stan::return_type<T1, T2>::type, R, C> stan::math::add(const Eigen::Matrix<T1, R, C>&, const Eigen::Matrix<T2, R, C>&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type<T1, T2>::type = double]'
stanExports_redifhm_all.h:1945:44:   required from 'void model_redifhm_all_namespace::model_redifhm_all::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:26:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:52,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<unsigned int> >&) [with Model = model_redifhm_all_namespace::model_redifhm_all]':
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:105:23:   required from 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:41:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<unsigned int>::size_type' {aka 'unsigned int'} [-Wsign-compare]
     for (int j = 0; j < dimss[i].size(); ++j)
                     ~~^~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = int; DataMapper = Eigen::internal::blas_data_mapper<double, int, 0, 0, 1>; int mr = 2; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar = double]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:21: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
                     ^~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 16>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = int; int mr = 2; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = int; int mr = 2; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<int, int>; Derived = Eigen::internal::redux_evaluator<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<int, int>; Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:24:21:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:351:41:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:39:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; U = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, 1> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:25:   required from 'static double stan::math::internal::dot_product_vari<T1, T2>::var_dot(stan::math::vari**, stan::math::vari**, size_t) [with T1 = stan::math::var; T2 = stan::math::var; size_t = unsigned int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:129:21:   required from 'stan::math::internal::dot_product_vari<T1, T2>::dot_product_vari(typename stan::math::internal::dot_product_store_type<T1>::type, typename stan::math::internal::dot_product_store_type<T2>::type, size_t) [with T1 = stan::math::var; T2 = stan::math::var; typename stan::math::internal::dot_product_store_type<T1>::type = stan::math::vari**; typename stan::math::internal::dot_product_store_type<T2>::type = stan::math::vari**; size_t = unsigned int]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/tcrossprod.hpp:49:57:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:43:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:144:30:   required from 'bool Eigen::DenseBase<Derived>::hasNaN() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:158:10:   required from 'bool Eigen::DenseBase<Derived>::allFinite() const [with Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_finite.hpp:30:9:   required from 'static void stan::math::internal::finite<Eigen::Matrix<T, R, C>, true>::check(const char*, const char*, const Eigen::Matrix<T, R, C>&) [with T = double; int R = -1; int C = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_finite.hpp:47:59:   required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:70:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 1, -1>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:317:3:   required from 'void Eigen::DenseBase<Derived>::fill(const Scalar&) [with Derived = Eigen::Matrix<double, 1, -1>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/fill.hpp:23:3:   required from 'void stan::math::fill(Eigen::Matrix<T, R, C>&, const S&) [with T = double; int R = 1; int C = -1; S = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/arr/fun/fill.hpp:25:9:   required from 'void stan::math::fill(std::vector<T>&, const S&) [with T = Eigen::Matrix<double, 1, -1>; S = double]'
stanExports_redifhm_all.h:867:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:192:25:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_redifhm_all_namespace::model_redifhm_all>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/diag_pre_multiply.hpp:18:26:   required from 'Eigen::Matrix<typename stan::return_type<T1, T2>::type, R2, C2> stan::math::diag_pre_multiply(const Eigen::Matrix<T1, R, C>&, const Eigen::Matrix<T2, R2, C2>&) [with T1 = double; T2 = double; int R1 = -1; int C1 = 1; int R2 = -1; int C2 = -1; typename stan::return_type<T1, T2>::type = double]'
stanExports_redifhm_all.h:85:70:   required from 'Eigen::Matrix<typename boost::math::tools::promote_args<RT1, RT2, A>::type, -1, -1> model_redifhm_all_namespace::z_to_random(const Eigen::Matrix<LhsScalar, -1, -1, 0>&, const Eigen::Matrix<RhsScalar, -1, 1>&, const Eigen::Matrix<LhsScalar, -1, -1, 0>&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; typename boost::math::tools::promote_args<RT1, RT2, A>::type = double; std::ostream = std::basic_ostream<char>]'
stanExports_redifhm_all.h:1877:50:   required from 'void model_redifhm_all_namespace::model_redifhm_all::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:26:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::exp_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::exp_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::exp_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::exp_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::exp_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77:   required from 'static stan::math::apply_scalar_unary<F, T>::return_t stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/exp.hpp:41:47:   required from 'typename stan::math::apply_scalar_unary<stan::math::exp_fun, T>::return_t stan::math::exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; typename stan::math::apply_scalar_unary<stan::math::exp_fun, T>::return_t = Eigen::Matrix<double, -1, 1>]'
stanExports_redifhm_all.h:1910:194:   required from 'void model_redifhm_all_namespace::model_redifhm_all::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:26:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, 1, -1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::exp_fun, Eigen::Matrix<double, 1, -1> >::scalar_t)>, const Eigen::Matrix<double, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, 1, -1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::exp_fun, Eigen::Matrix<double, 1, -1> >::scalar_t)>, const Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, 1, -1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::exp_fun, Eigen::Matrix<double, 1, -1> >::scalar_t)>, const Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, 1, -1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::exp_fun, Eigen::Matrix<double, 1, -1> >::scalar_t)>, const Eigen::Matrix<double, 1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, 1, -1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::exp_fun, Eigen::Matrix<double, 1, -1> >::scalar_t)>, const Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77:   required from 'static stan::math::apply_scalar_unary<F, T>::return_t stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, 1, -1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/exp.hpp:41:47:   required from 'typename stan::math::apply_scalar_unary<stan::math::exp_fun, T>::return_t stan::math::exp(const T&) [with T = Eigen::Matrix<double, 1, -1>; typename stan::math::apply_scalar_unary<stan::math::exp_fun, T>::return_t = Eigen::Matrix<double, 1, -1>]'
stanExports_redifhm_all.h:1922:58:   required from 'void model_redifhm_all_namespace::model_redifhm_all::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:26:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:28:13:   required from 'Eigen::Matrix<typename stan::return_type<T1, T2>::type, R, C> stan::math::add(const Eigen::Matrix<T1, R, C>&, const Eigen::Matrix<T2, R, C>&) [with T1 = double; T2 = double; int R = -1; int C = -1; typename stan::return_type<T1, T2>::type = double]'
stanExports_redifhm_all.h:422:44:   required from 'Eigen::Matrix<typename boost::math::tools::promote_args<T0__, T1__, T2__, T3__, typename boost::math::tools::promote_args<T4__>::type>::type, -1, -1> model_redifhm_all_namespace::marg_expect_uni(const Eigen::Matrix<T, 1, -1>&, const Eigen::Matrix<S, 1, -1>&, const Eigen::Matrix<LhsScalar, -1, -1, 0>&, const Eigen::Matrix<T_G, -1, -1>&, const Eigen::Matrix<RhsScalar, -1, 1>&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; T4__ = double; typename boost::math::tools::promote_args<T0__, T1__, T2__, T3__, typename boost::math::tools::promote_args<T4__>::type>::type = double; std::ostream = std::basic_ostream<char>]'
stanExports_redifhm_all.h:1948:68:   required from 'void model_redifhm_all_namespace::model_redifhm_all::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:26:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/elt_multiply.hpp:27:28:   required from 'Eigen::Matrix<typename stan::return_type<T1, T2>::type, R, C> stan::math::elt_multiply(const Eigen::Matrix<T1, R, C>&, const Eigen::Matrix<T2, R, C>&) [with T1 = double; T2 = double; int R = -1; int C = -1; typename stan::return_type<T1, T2>::type = double]'
stanExports_redifhm_all.h:422:88:   required from 'Eigen::Matrix<typename boost::math::tools::promote_args<T0__, T1__, T2__, T3__, typename boost::math::tools::promote_args<T4__>::type>::type, -1, -1> model_redifhm_all_namespace::marg_expect_uni(const Eigen::Matrix<T, 1, -1>&, const Eigen::Matrix<S, 1, -1>&, const Eigen::Matrix<LhsScalar, -1, -1, 0>&, const Eigen::Matrix<T_G, -1, -1>&, const Eigen::Matrix<RhsScalar, -1, 1>&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; T4__ = double; typename boost::math::tools::promote_args<T0__, T1__, T2__, T3__, typename boost::math::tools::promote_args<T4__>::type>::type = double; std::ostream = std::basic_ostream<char>]'
stanExports_redifhm_all.h:1948:68:   required from 'void model_redifhm_all_namespace::model_redifhm_all::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:26:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/transpose.hpp:11:22:   required from 'Eigen::Matrix<T, C, R> stan::math::transpose(const Eigen::Matrix<T, R, C>&) [with T = double; int R = 1; int C = -1]'
stanExports_redifhm_all.h:366:248:   required from 'std::vector<Eigen::Matrix<typename boost::math::tools::promote_args<T0__, T1__, T2__, T3__, typename boost::math::tools::promote_args<T4__>::type>::type, -1, -1> > model_redifhm_all_namespace::marg_cov_uni(const Eigen::Matrix<T, 1, -1>&, const Eigen::Matrix<S, 1, -1>&, const Eigen::Matrix<LhsScalar, -1, -1, 0>&, const Eigen::Matrix<T_G, -1, -1>&, const Eigen::Matrix<RhsScalar, -1, 1>&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; T4__ = double; typename boost::math::tools::promote_args<T0__, T1__, T2__, T3__, typename boost::math::tools::promote_args<T4__>::type>::type = double; std::ostream = std::basic_ostream<char>]'
stanExports_redifhm_all.h:1950:68:   required from 'void model_redifhm_all_namespace::model_redifhm_all::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:26:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::blas_data_mapper<double, int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 1; int Mode = 2]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:108:49:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
                                                              ^~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:46:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:294:10:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:862:7:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from 'class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:229:3:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with IndexType = int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:7:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:46:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:58:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:34:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, -1>, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, -1>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:72:13:   required from 'Eigen::Matrix<typename stan::return_type<T1, T2>::type, R1, C2> stan::math::multiply(const Eigen::Matrix<T1, R1, C1>&, const Eigen::Matrix<T2, R2, C2>&) [with int R1 = -1; int C1 = 1; int R2 = 1; int C2 = -1; T1 = double; T2 = double; <template-parameter-1-7> = void; typename stan::return_type<T1, T2>::type = double]'
stanExports_redifhm_all.h:1556:73:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:58:12:   required from 'Eigen::Matrix<typename stan::return_type<T1, T2>::type, R, C> stan::math::add(const T1&, const Eigen::Matrix<T2, R, C>&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type<T1, T2>::type = double]'
stanExports_redifhm_all.h:1567:71:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:248:23:   required from 'int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = stan::optimization::ModelAdaptor<model_redifhm_all_namespace::model_redifhm_all>; Scalar = double; XType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:210:28:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_redifhm_all_namespace::model_redifhm_all>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_redifhm_all_namespace::model_redifhm_all>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_redifhm_all_namespace::model_redifhm_all>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_redifhm_all_namespace::model_redifhm_all>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_redifhm_all_namespace::model_redifhm_all>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_redifhm_all_namespace::model_redifhm_all>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20:   required from 'void stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::search_direction(stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:255:5:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_redifhm_all_namespace::model_redifhm_all>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, 1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, 1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, 1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, 1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, 1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var, 1, -1> >::val_Op, const Eigen::Matrix<stan::math::var, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:87:8:   required from 'stan::math::multiply_mat_vari<Ta, Ra, Ca, Tb, Cb>::multiply_mat_vari(const Eigen::Matrix<T, R, C>&, const Eigen::Matrix<Tb, Ca, Cb>&) [with Ta = stan::math::var; int Ra = -1; int Ca = 1; Tb = stan::math::var; int Cb = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9:   required from 'Eigen::Matrix<stan::math::var, Ra, Cb> stan::math::multiply(const Eigen::Matrix<T, R, C>&, const Eigen::Matrix<Tb, Ca, Cb>&) [with Ta = stan::math::var; int Ra = -1; int Ca = 1; Tb = stan::math::var; int Cb = -1; <template-parameter-1-6> = void]'
stanExports_redifhm_all.h:1556:73:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_redifhm_all_namespace::model_redifhm_all; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:44:51:   required from 'Eigen::CommaInitializer<MatrixType>::CommaInitializer(XprType&, const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:155:10:   required from 'Eigen::CommaInitializer<Derived> Eigen::DenseBase<Derived>::operator<<(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/append_row.hpp:150:10:   required from 'Eigen::Matrix<Scalar, -1, 1> stan::math::append_row(const Eigen::Matrix<T, R1, 1>&, const Eigen::Matrix<ViewElt, R, 1>&) [with T = double; int R1 = -1; int R2 = -1]'
stanExports_redifhm_all.h:1870:59:   required from 'void model_redifhm_all_namespace::model_redifhm_all::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:26:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<double, -1, 1> >::scalar_t)>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77:   required from 'static stan::math::apply_scalar_unary<F, T>::return_t stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix<double, -1, 1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/log.hpp:40:47:   required from 'typename stan::math::apply_scalar_unary<stan::math::log_fun, T>::return_t stan::math::log(const T&) [with T = Eigen::Matrix<double, -1, 1>; typename stan::math::apply_scalar_unary<stan::math::log_fun, T>::return_t = Eigen::Matrix<double, -1, 1>]'
stanExports_redifhm_all.h:664:58:   required from 'Eigen::Matrix<typename boost::math::tools::promote_args<T>::type, -1, 1> model_redifhm_all_namespace::eta_sds_pto(const Eigen::Matrix<Scalar, -1, 1>&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args<T>::type = double; std::ostream = std::basic_ostream<char>]'
stanExports_redifhm_all.h:1910:109:   required from 'void model_redifhm_all_namespace::model_redifhm_all::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:26:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Matrix<double, 1, -1>, -1, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Replicate<Eigen::Matrix<double, 1, -1>, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Replicate<Eigen::Matrix<double, 1, -1>, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from 'class Eigen::Replicate<Eigen::Matrix<double, 1, -1>, -1, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:503:51:   required from 'ExpressionType& Eigen::VectorwiseOp<ExpressionType, Direction>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, 1, -1>; ExpressionType = Eigen::Matrix<double, -1, -1>; int Direction = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/rep_matrix.hpp:34:20:   required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::rep_matrix(const Eigen::Matrix<T, 1, -1>&, int) [with T = double]'
stanExports_redifhm_all.h:422:55:   required from 'Eigen::Matrix<typename boost::math::tools::promote_args<T0__, T1__, T2__, T3__, typename boost::math::tools::promote_args<T4__>::type>::type, -1, -1> model_redifhm_all_namespace::marg_expect_uni(const Eigen::Matrix<T, 1, -1>&, const Eigen::Matrix<S, 1, -1>&, const Eigen::Matrix<LhsScalar, -1, -1, 0>&, const Eigen::Matrix<T_G, -1, -1>&, const Eigen::Matrix<RhsScalar, -1, 1>&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; T4__ = double; typename boost::math::tools::promote_args<T0__, T1__, T2__, T3__, typename boost::math::tools::promote_args<T4__>::type>::type = double; std::ostream = std::basic_ostream<char>]'
stanExports_redifhm_all.h:1948:68:   required from 'void model_redifhm_all_namespace::model_redifhm_all::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:26:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from 'class Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:503:51:   required from 'ExpressionType& Eigen::VectorwiseOp<ExpressionType, Direction>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; ExpressionType = Eigen::Matrix<double, -1, -1>; int Direction = 0]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/rep_matrix.hpp:25:20:   required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::rep_matrix(const Eigen::Matrix<Scalar, -1, 1>&, int) [with T = double]'
stanExports_redifhm_all.h:422:99:   required from 'Eigen::Matrix<typename boost::math::tools::promote_args<T0__, T1__, T2__, T3__, typename boost::math::tools::promote_args<T4__>::type>::type, -1, -1> model_redifhm_all_namespace::marg_expect_uni(const Eigen::Matrix<T, 1, -1>&, const Eigen::Matrix<S, 1, -1>&, const Eigen::Matrix<LhsScalar, -1, -1, 0>&, const Eigen::Matrix<T_G, -1, -1>&, const Eigen::Matrix<RhsScalar, -1, 1>&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; T4__ = double; typename boost::math::tools::promote_args<T0__, T1__, T2__, T3__, typename boost::math::tools::promote_args<T4__>::type>::type = double; std::ostream = std::basic_ostream<char>]'
stanExports_redifhm_all.h:1948:68:   required from 'void model_redifhm_all_namespace::model_redifhm_all::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:26:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, -1, -1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::exp_fun, Eigen::Matrix<double, -1, -1> >::scalar_t)>, const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, -1, -1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::exp_fun, Eigen::Matrix<double, -1, -1> >::scalar_t)>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, -1, -1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::exp_fun, Eigen::Matrix<double, -1, -1> >::scalar_t)>, const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, -1, -1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::exp_fun, Eigen::Matrix<double, -1, -1> >::scalar_t)>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, -1, -1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]::<lambda(stan::math::apply_scalar_unary<stan::math::exp_fun, Eigen::Matrix<double, -1, -1> >::scalar_t)>, const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77:   required from 'static stan::math::apply_scalar_unary<F, T>::return_t stan::math::apply_scalar_unary<F, T>::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix<double, -1, -1>; stan::math::apply_scalar_unary<F, T>::return_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<_Rhs>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/exp.hpp:41:47:   required from 'typename stan::math::apply_scalar_unary<stan::math::exp_fun, T>::return_t stan::math::exp(const T&) [with T = Eigen::Matrix<double, -1, -1>; typename stan::math::apply_scalar_unary<stan::math::exp_fun, T>::return_t = Eigen::Matrix<double, -1, -1>]'
stanExports_redifhm_all.h:360:51:   required from 'std::vector<Eigen::Matrix<typename boost::math::tools::promote_args<T0__, T1__, T2__, T3__, typename boost::math::tools::promote_args<T4__>::type>::type, -1, -1> > model_redifhm_all_namespace::marg_cov_uni(const Eigen::Matrix<T, 1, -1>&, const Eigen::Matrix<S, 1, -1>&, const Eigen::Matrix<LhsScalar, -1, -1, 0>&, const Eigen::Matrix<T_G, -1, -1>&, const Eigen::Matrix<RhsScalar, -1, 1>&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; T4__ = double; typename boost::math::tools::promote_args<T0__, T1__, T2__, T3__, typename boost::math::tools::promote_args<T4__>::type>::type = double; std::ostream = std::basic_ostream<char>]'
stanExports_redifhm_all.h:1950:68:   required from 'void model_redifhm_all_namespace::model_redifhm_all::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:26:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:9:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = int; int mr = 2; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:244:34:   required from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7:   required from 'class Eigen::InverseImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::SolverStorage>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:12:   required from 'static void Eigen::internal::compute_inverse<MatrixType, ResultType, Size>::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Size = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:14:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:862:7:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1337:8:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)0>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:19:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_log.hpp:19:58:   required from 'stan::return_type_t<T1, T2> stan::math::lkj_corr_cholesky_log(const Eigen::Matrix<Scalar, -1, -1>&, const T_shape&) [with bool propto = false; T_covar = double; T_shape = int; stan::return_type_t<T1, T2> = double]'
stanExports_redifhm_all.h:1581:59:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_lpdf.hpp:39:42:   required from 'stan::return_type_t<T1, T2> stan::math::lkj_corr_cholesky_lpdf(const Eigen::Matrix<Scalar, -1, -1>&, const T_shape&) [with bool propto = false; T_covar = double; T_shape = int; stan::return_type_t<T1, T2> = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_log.hpp:19:58:   required from 'stan::return_type_t<T1, T2> stan::math::lkj_corr_cholesky_log(const Eigen::Matrix<Scalar, -1, -1>&, const T_shape&) [with bool propto = false; T_covar = double; T_shape = int; stan::return_type_t<T1, T2> = double]'
stanExports_redifhm_all.h:1581:59:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_lpdf.hpp:38:47:   required from 'stan::return_type_t<T1, T2> stan::math::lkj_corr_cholesky_lpdf(const Eigen::Matrix<Scalar, -1, -1>&, const T_shape&) [with bool propto = false; T_covar = double; T_shape = int; stan::return_type_t<T1, T2> = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_log.hpp:19:58:   required from 'stan::return_type_t<T1, T2> stan::math::lkj_corr_cholesky_log(const Eigen::Matrix<Scalar, -1, -1>&, const T_shape&) [with bool propto = false; T_covar = double; T_shape = int; stan::return_type_t<T1, T2> = double]'
stanExports_redifhm_all.h:1581:59:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:200:35:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_redifhm_all_namespace::model_redifhm_all>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:7:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/advi.hpp:222:11:   required from 'double stan::variational::advi<Model, Q, BaseRNG>::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_redifhm_all_namespace::model_redifhm_all; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/advi.hpp:468:13:   required from 'int stan::variational::advi<Model, Q, BaseRNG>::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_redifhm_all_namespace::model_redifhm_all; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:3:   required from 'int stan::services::experimental::advi::meanfield(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:886:18:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 1, -1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 1, -1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::Matrix<double, 1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::Matrix<double, 1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/get_base1.hpp:255:39:   required from 'Eigen::Matrix<T, 1, -1> stan::math::get_base1(const Eigen::Matrix<LhsScalar, -1, -1, 0>&, size_t, const char*, size_t) [with T = double; size_t = unsigned int]'
stanExports_redifhm_all.h:566:34:   required from 'std::vector<Eigen::Matrix<typename boost::math::tools::promote_args<T>::type, 1, -1> > model_redifhm_all_namespace::sort_data_by_group(const Eigen::Matrix<LhsScalar, -1, -1, 0>&, const std::vector<int>&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args<T>::type = double; std::ostream = std::basic_ostream<char>]'
stanExports_redifhm_all.h:880:84:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left_ldlt.hpp:28:79:   required from 'Eigen::Matrix<typename stan::return_type<T1, T2>::type, R1, C2> stan::math::mdivide_left_ldlt(const stan::math::LDLT_factor<T1, R1, C1>&, const Eigen::Matrix<T2, R2, C2>&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; T1 = double; T2 = double; typename stan::return_type<T1, T2>::type = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/trace_inv_quad_form_ldlt.hpp:27:56:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<double, 1, -1>; T_covar = Eigen::Matrix<double, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 1, -1>, const Eigen::Matrix<double, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 1, -1>, const Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 1, -1>, const Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 1, -1>, const Eigen::Matrix<double, 1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 1, -1>, const Eigen::Matrix<double, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:158:22:   required from 'bool Eigen::DenseBase<Derived>::allFinite() const [with Derived = Eigen::Matrix<double, 1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_finite.hpp:30:9:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_lpdf.hpp:91:17:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<stan::math::var, 1, -1>; T_covar = Eigen::Matrix<stan::math::var, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = stan::math::var]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<stan::math::var, 1, -1>; T_covar = Eigen::Matrix<stan::math::var, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = stan::math::var]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_redifhm_all_namespace::model_redifhm_all; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:24:12:   required from 'void stan::math::internal::trace_inv_quad_form_ldlt_impl<T2, R2, C2, T3, R3, C3>::initializeB(const Eigen::Matrix<stan::math::var, Rb, Cb>&, bool) [with T2 = stan::math::var; int R2 = -1; int C2 = -1; T3 = stan::math::var; int R3 = -1; int C3 = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:65:5:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_lpdf.hpp:114:45:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<stan::math::var, 1, -1>; T_covar = Eigen::Matrix<stan::math::var, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = stan::math::var]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<stan::math::var, 1, -1>; T_covar = Eigen::Matrix<stan::math::var, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = stan::math::var]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_redifhm_all_namespace::model_redifhm_all; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:113:35:   required from 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:30:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:193:21:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = int; Gemm = Eigen::internal::general_matrix_matrix_product<int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:98:7:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor<double, int, Eigen::internal::general_matrix_matrix_product<int, double, 0, false, double, 0, false, 0, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:456:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
                                                              ^~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; int Pack1 = 2; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:182:17:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = int; Gemm = Eigen::internal::general_matrix_matrix_product<int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:98:7:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor<double, int, Eigen::internal::general_matrix_matrix_product<int, double, 1, false, double, 0, false, 0, 1>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:456:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
             PacketBlock<Packet> kernel;
                                 ^~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; int Pack1 = 2; int Pack2 = 2; bool Conjugate = true; bool PanelMode = false]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:377:28:   required from 'static void Eigen::internal::product_selfadjoint_matrix<Scalar, Index, LhsStorageOrder, true, ConjugateLhs, RhsStorageOrder, false, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = int; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:513:12:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, RhsMode, false>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int RhsMode = 0; Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, RhsMode, false>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:772:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product<int, double, Eigen::internal::const_blas_data_mapper<double, int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, int, 0>, false, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                       ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                       ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                       ^~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, 1, -1>; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Matrix<double, 1, -1> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/sum.hpp:21:16:   required from 'typename Eigen::DenseBase<Derived>::Scalar stan::math::sum(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::DenseBase<Derived>::Scalar = double]'
stanExports_redifhm_all.h:1573:104:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 1, -1>, const Eigen::Matrix<double, 1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 1, -1>, const Eigen::Matrix<double, 1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 1, -1>, const Eigen::Matrix<double, 1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 1, -1>, const Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:144:30:   required from 'bool Eigen::DenseBase<Derived>::hasNaN() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 1, -1>, const Eigen::Matrix<double, 1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:158:10:   required from 'bool Eigen::DenseBase<Derived>::allFinite() const [with Derived = Eigen::Matrix<double, 1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_finite.hpp:30:9:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_lpdf.hpp:91:17:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<stan::math::var, 1, -1>; T_covar = Eigen::Matrix<stan::math::var, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = stan::math::var]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<stan::math::var, 1, -1>; T_covar = Eigen::Matrix<stan::math::var, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = stan::math::var]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_redifhm_all_namespace::model_redifhm_all; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:500:31:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:28:47:   required from 'void stan::math::internal::trace_inv_quad_form_ldlt_impl<T2, R2, C2, T3, R3, C3>::initializeB(const Eigen::Matrix<stan::math::var, Rb, Cb>&, bool) [with T2 = stan::math::var; int R2 = -1; int C2 = -1; T3 = stan::math::var; int R3 = -1; int C3 = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:65:5:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_lpdf.hpp:114:45:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<stan::math::var, 1, -1>; T_covar = Eigen::Matrix<stan::math::var, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = stan::math::var]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<stan::math::var, 1, -1>; T_covar = Eigen::Matrix<stan::math::var, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = stan::math::var]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_redifhm_all_namespace::model_redifhm_all; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:49:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:3:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar) [with Index = int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
                                                              ^~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32:   required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:50:60:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 1, -1>; U = Eigen::Matrix<double, -1, 1>; Eigen::internal::dot_nocheck<T, U, true>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<double, 1, -1>; T_covar = Eigen::Matrix<double, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:200:35:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_redifhm_all_namespace::model_redifhm_all>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_redifhm_all_namespace::model_redifhm_all>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<Scalar1, Scalar2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix<double, -1, -1>; Xpr2 = const Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_redifhm_all_namespace::model_redifhm_all>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product<int, double, Eigen::internal::const_blas_data_mapper<double, int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, int, 1>, false, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                       ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                       ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                       ^~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:35:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:577:9:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Eigen::PartialPivLU<MatrixType> >, Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::PartialPivLU<MatrixType>::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::PartialPivLU<MatrixType>::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Eigen::PartialPivLU<MatrixType> >, Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::PartialPivLU<MatrixType>::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >; typename Eigen::PartialPivLU<MatrixType>::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_lpdf.hpp:114:45:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<stan::math::var, 1, -1>; T_covar = Eigen::Matrix<stan::math::var, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = stan::math::var]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<stan::math::var, 1, -1>; T_covar = Eigen::Matrix<stan::math::var, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = stan::math::var]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_redifhm_all_namespace::model_redifhm_all; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_lpdf.hpp:114:45:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<stan::math::var, 1, -1>; T_covar = Eigen::Matrix<stan::math::var, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = stan::math::var]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<stan::math::var, 1, -1>; T_covar = Eigen::Matrix<stan::math::var, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = stan::math::var]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_redifhm_all_namespace::model_redifhm_all; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:44:51:   required from 'Eigen::CommaInitializer<MatrixType>::CommaInitializer(XprType&, const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:155:10:   required from 'Eigen::CommaInitializer<Derived> Eigen::DenseBase<Derived>::operator<<(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/append_row.hpp:150:10:   required from 'Eigen::Matrix<Scalar, -1, 1> stan::math::append_row(const Eigen::Matrix<T, R1, 1>&, const Eigen::Matrix<ViewElt, R, 1>&) [with T = double; int R1 = -1; int R2 = -1]'
stanExports_redifhm_all.h:1870:59:   required from 'void model_redifhm_all_namespace::model_redifhm_all::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:26:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:72:15:   required from 'Eigen::Matrix<typename stan::return_type<T1, T2>::type, R1, C2> stan::math::multiply(const Eigen::Matrix<T1, R1, C1>&, const Eigen::Matrix<T2, R2, C2>&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; T1 = double; T2 = double; <template-parameter-1-7> = void; typename stan::return_type<T1, T2>::type = double]'
stanExports_redifhm_all.h:85:39:   required from 'Eigen::Matrix<typename boost::math::tools::promote_args<RT1, RT2, A>::type, -1, -1> model_redifhm_all_namespace::z_to_random(const Eigen::Matrix<LhsScalar, -1, -1, 0>&, const Eigen::Matrix<RhsScalar, -1, 1>&, const Eigen::Matrix<LhsScalar, -1, -1, 0>&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; typename boost::math::tools::promote_args<RT1, RT2, A>::type = double; std::ostream = std::basic_ostream<char>]'
stanExports_redifhm_all.h:1877:50:   required from 'void model_redifhm_all_namespace::model_redifhm_all::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:26:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
                                                              ^~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = int; DataMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, false, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; int ProductTag = 8; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
                                                              ^~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:371,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:263:43:   required from 'Index Eigen::internal::blas_data_mapper<Scalar, Index, StorageOrder, AlignmentType, 1>::firstAligned(Index) const [with Scalar = const double; Index = int; int StorageOrder = 0; int AlignmentType = 0]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:9:   required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar) [with Index = int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:10: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1337:8:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_log.hpp:19:58:   required from 'stan::return_type_t<T1, T2> stan::math::lkj_corr_cholesky_log(const Eigen::Matrix<Scalar, -1, -1>&, const T_shape&) [with bool propto = false; T_covar = double; T_shape = int; stan::return_type_t<T1, T2> = double]'
stanExports_redifhm_all.h:1581:59:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:503,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:772:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
                                                                                                                         ^~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
                                                                                                                         ^~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase<Derived>::Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::MatrixBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:565:26:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<double, 1, -1>; T_covar = Eigen::Matrix<double, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<double, 1, -1>; T_covar = Eigen::Matrix<double, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:595:38:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<double, 1, -1>; T_covar = Eigen::Matrix<double, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:50:64:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 1, -1>; U = Eigen::Matrix<double, -1, 1>; Eigen::internal::dot_nocheck<T, U, true>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:90:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<double, 1, -1>; T_covar = Eigen::Matrix<double, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:36:   required from 'static void Eigen::internal::compute_inverse<MatrixType, ResultType, Size>::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Size = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:586:18:   required from 'void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<double, 1, -1>; T_covar = Eigen::Matrix<double, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:565:26:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_lpdf.hpp:114:45:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<stan::math::var, 1, -1>; T_covar = Eigen::Matrix<stan::math::var, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = stan::math::var]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<stan::math::var, 1, -1>; T_covar = Eigen::Matrix<stan::math::var, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = stan::math::var]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_redifhm_all_namespace::model_redifhm_all; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:595:38:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_lpdf.hpp:114:45:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<stan::math::var, 1, -1>; T_covar = Eigen::Matrix<stan::math::var, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = stan::math::var]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<stan::math::var, 1, -1>; T_covar = Eigen::Matrix<stan::math::var, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = stan::math::var]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_redifhm_all_namespace::model_redifhm_all; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_lpdf.hpp:114:45:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<stan::math::var, 1, -1>; T_covar = Eigen::Matrix<stan::math::var, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = stan::math::var]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<stan::math::var, 1, -1>; T_covar = Eigen::Matrix<stan::math::var, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = stan::math::var]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_redifhm_all_namespace::model_redifhm_all; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_lpdf.hpp:114:45:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<stan::math::var, 1, -1>; T_covar = Eigen::Matrix<stan::math::var, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = stan::math::var]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<stan::math::var, 1, -1>; T_covar = Eigen::Matrix<stan::math::var, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = stan::math::var]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_redifhm_all_namespace::model_redifhm_all; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1581:64:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_lpdf.hpp:114:45:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<stan::math::var, 1, -1>; T_covar = Eigen::Matrix<stan::math::var, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = stan::math::var]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<stan::math::var, 1, -1>; T_covar = Eigen::Matrix<stan::math::var, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = stan::math::var]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_redifhm_all_namespace::model_redifhm_all; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:76:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; int Version = 0; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_redifhm_all_namespace::model_redifhm_all>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<double, 1, -1>; T_covar = Eigen::Matrix<double, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_redifhm_all_namespace::model_redifhm_all>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_lpdf.hpp:114:45:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<stan::math::var, 1, -1>; T_covar = Eigen::Matrix<stan::math::var, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = stan::math::var]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<stan::math::var, 1, -1>; T_covar = Eigen::Matrix<stan::math::var, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = stan::math::var]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_redifhm_all_namespace::model_redifhm_all; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from 'ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from 'ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; ResultType = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:11:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<double, 1, -1>; T_covar = Eigen::Matrix<double, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<double, 1, -1>; T_covar = Eigen::Matrix<double, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<double, 1, -1>; T_covar = Eigen::Matrix<double, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:123:64:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = int; int Mode = 5; bool Conjugate = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<double, 1, -1>; T_covar = Eigen::Matrix<double, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product<int, double, Eigen::internal::const_blas_data_mapper<double, int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, int, 0>, false, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = int; int Mode = 5; bool Conjugate = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 5]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:568:3:   required from 'void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<double, 1, -1>; T_covar = Eigen::Matrix<double, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                       ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                       ^~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                       ^~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<double, 1, -1>; T_covar = Eigen::Matrix<double, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<double, 1, -1>; T_covar = Eigen::Matrix<double, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<double, 1, -1>; T_covar = Eigen::Matrix<double, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:60:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<double, 1, -1>; T_covar = Eigen::Matrix<double, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:124:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = int; int Mode = 6; bool Conjugate = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<double, 1, -1>; T_covar = Eigen::Matrix<double, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_redifhm_all_namespace::model_redifhm_all>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:713:74:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_redifhm_all_namespace::model_redifhm_all>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9:   required from 'stan::math::multiply_mat_vari<Ta, Ra, Ca, Tb, Cb>::multiply_mat_vari(const Eigen::Matrix<T, R, C>&, const Eigen::Matrix<Tb, Ca, Cb>&) [with Ta = stan::math::var; int Ra = -1; int Ca = 1; Tb = stan::math::var; int Cb = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9:   required from 'Eigen::Matrix<stan::math::var, Ra, Cb> stan::math::multiply(const Eigen::Matrix<T, R, C>&, const Eigen::Matrix<Tb, Ca, Cb>&) [with Ta = stan::math::var; int Ra = -1; int Ca = 1; Tb = stan::math::var; int Cb = -1; <template-parameter-1-6> = void]'
stanExports_redifhm_all.h:1556:73:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_redifhm_all_namespace::model_redifhm_all; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:72:15:   required from 'Eigen::Matrix<typename stan::return_type<T1, T2>::type, R1, C2> stan::math::multiply(const Eigen::Matrix<T1, R1, C1>&, const Eigen::Matrix<T2, R2, C2>&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; T1 = double; T2 = double; <template-parameter-1-7> = void; typename stan::return_type<T1, T2>::type = double]'
stanExports_redifhm_all.h:85:39:   required from 'Eigen::Matrix<typename boost::math::tools::promote_args<RT1, RT2, A>::type, -1, -1> model_redifhm_all_namespace::z_to_random(const Eigen::Matrix<LhsScalar, -1, -1, 0>&, const Eigen::Matrix<RhsScalar, -1, 1>&, const Eigen::Matrix<LhsScalar, -1, -1, 0>&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; typename boost::math::tools::promote_args<RT1, RT2, A>::type = double; std::ostream = std::basic_ostream<char>]'
stanExports_redifhm_all.h:1877:50:   required from 'void model_redifhm_all_namespace::model_redifhm_all::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:26:89:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = int; int Mode = 5; bool Conjugate = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 5]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:568:3:   required from 'void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<double, 1, -1>; T_covar = Eigen::Matrix<double, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
                                                              ^~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:586:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<double, 1, -1>; T_covar = Eigen::Matrix<double, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:76:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1581:64:   required from 'Eigen::internal::evaluator<Eigen::Diagonal<ArgType, DiagIndex> >::CoeffReturnType Eigen::internal::evaluator<Eigen::Diagonal<ArgType, DiagIndex> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>; int DiagIndex = 0; Eigen::internal::evaluator<Eigen::Diagonal<ArgType, DiagIndex> >::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_lpdf.hpp:114:45:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<stan::math::var, 1, -1>; T_covar = Eigen::Matrix<stan::math::var, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = stan::math::var]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<stan::math::var, 1, -1>; T_covar = Eigen::Matrix<stan::math::var, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = stan::math::var]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_redifhm_all_namespace::model_redifhm_all; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from 'ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   required from 'const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<double, 1, -1>; T_covar = Eigen::Matrix<double, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<double, 1, -1>; T_covar = Eigen::Matrix<double, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_redifhm_all_namespace::model_redifhm_all>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9:   required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:18:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = int; int Mode = 6; bool Conjugate = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 6]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<double, 1, -1>; T_covar = Eigen::Matrix<double, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<double, 1, -1>; T_covar = Eigen::Matrix<double, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<double, 1, -1>; T_covar = Eigen::Matrix<double, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1009:11:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:76:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::sub_assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9:   required from 'stan::math::multiply_mat_vari<Ta, Ra, Ca, Tb, Cb>::multiply_mat_vari(const Eigen::Matrix<T, R, C>&, const Eigen::Matrix<Tb, Ca, Cb>&) [with Ta = stan::math::var; int Ra = -1; int Ca = 1; Tb = stan::math::var; int Cb = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9:   required from 'Eigen::Matrix<stan::math::var, Ra, Cb> stan::math::multiply(const Eigen::Matrix<T, R, C>&, const Eigen::Matrix<Tb, Ca, Cb>&) [with Ta = stan::math::var; int Ra = -1; int Ca = 1; Tb = stan::math::var; int Cb = -1; <template-parameter-1-6> = void]'
stanExports_redifhm_all.h:1556:73:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_redifhm_all_namespace::model_redifhm_all; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9:   required from 'stan::math::multiply_mat_vari<Ta, Ra, Ca, Tb, Cb>::multiply_mat_vari(const Eigen::Matrix<T, R, C>&, const Eigen::Matrix<Tb, Ca, Cb>&) [with Ta = stan::math::var; int Ra = -1; int Ca = 1; Tb = stan::math::var; int Cb = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9:   required from 'Eigen::Matrix<stan::math::var, Ra, Cb> stan::math::multiply(const Eigen::Matrix<T, R, C>&, const Eigen::Matrix<Tb, Ca, Cb>&) [with Ta = stan::math::var; int Ra = -1; int Ca = 1; Tb = stan::math::var; int Cb = -1; <template-parameter-1-6> = void]'
stanExports_redifhm_all.h:1556:73:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_redifhm_all_namespace::model_redifhm_all; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9:   required from 'stan::math::multiply_mat_vari<Ta, Ra, Ca, Tb, Cb>::multiply_mat_vari(const Eigen::Matrix<T, R, C>&, const Eigen::Matrix<Tb, Ca, Cb>&) [with Ta = stan::math::var; int Ra = -1; int Ca = 1; Tb = stan::math::var; int Cb = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9:   required from 'Eigen::Matrix<stan::math::var, Ra, Cb> stan::math::multiply(const Eigen::Matrix<T, R, C>&, const Eigen::Matrix<Tb, Ca, Cb>&) [with Ta = stan::math::var; int Ra = -1; int Ca = 1; Tb = stan::math::var; int Cb = -1; <template-parameter-1-6> = void]'
stanExports_redifhm_all.h:1556:73:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_redifhm_all_namespace::model_redifhm_all; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = int]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9:   required from 'stan::math::multiply_mat_vari<Ta, Ra, Ca, Tb, Cb>::multiply_mat_vari(const Eigen::Matrix<T, R, C>&, const Eigen::Matrix<Tb, Ca, Cb>&) [with Ta = stan::math::var; int Ra = -1; int Ca = 1; Tb = stan::math::var; int Cb = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9:   required from 'Eigen::Matrix<stan::math::var, Ra, Cb> stan::math::multiply(const Eigen::Matrix<T, R, C>&, const Eigen::Matrix<Tb, Ca, Cb>&) [with Ta = stan::math::var; int Ra = -1; int Ca = 1; Tb = stan::math::var; int Cb = -1; <template-parameter-1-6> = void]'
stanExports_redifhm_all.h:1556:73:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_redifhm_all_namespace::model_redifhm_all; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   enum {
        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Func = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1088:36:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_log.hpp:17:56:   required from 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::multi_normal_log(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector<Eigen::Matrix<double, 1, -1> >; T_loc = Eigen::Matrix<double, 1, -1>; T_covar = Eigen::Matrix<double, -1, -1>; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
stanExports_redifhm_all.h:1623:66:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8:   required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_redifhm_all_namespace::model_redifhm_all]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:15:87:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9:   required from 'stan::math::multiply_mat_vari<Ta, Ra, Ca, Tb, Cb>::multiply_mat_vari(const Eigen::Matrix<T, R, C>&, const Eigen::Matrix<Tb, Ca, Cb>&) [with Ta = stan::math::var; int Ra = -1; int Ca = 1; Tb = stan::math::var; int Cb = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9:   required from 'Eigen::Matrix<stan::math::var, Ra, Cb> stan::math::multiply(const Eigen::Matrix<T, R, C>&, const Eigen::Matrix<Tb, Ca, Cb>&) [with Ta = stan::math::var; int Ra = -1; int Ca = 1; Tb = stan::math::var; int Cb = -1; <template-parameter-1-6> = void]'
stanExports_redifhm_all.h:1556:73:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_redifhm_all_namespace::model_redifhm_all; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9:   required from 'stan::math::multiply_mat_vari<Ta, Ra, Ca, Tb, Cb>::multiply_mat_vari(const Eigen::Matrix<T, R, C>&, const Eigen::Matrix<Tb, Ca, Cb>&) [with Ta = stan::math::var; int Ra = -1; int Ca = 1; Tb = stan::math::var; int Cb = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9:   required from 'Eigen::Matrix<stan::math::var, Ra, Cb> stan::math::multiply(const Eigen::Matrix<T, R, C>&, const Eigen::Matrix<Tb, Ca, Cb>&) [with Ta = stan::math::var; int Ra = -1; int Ca = 1; Tb = stan::math::var; int Cb = -1; <template-parameter-1-6> = void]'
stanExports_redifhm_all.h:1556:73:   required from 'T__ model_redifhm_all_namespace::model_redifhm_all::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_redifhm_all_namespace::model_redifhm_all; std::ostream = std::basic_ostream<char>]'
d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_redifhm_all_namespace::model_redifhm_all; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_redifhm_all.cc:23:88:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:991:19:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::vari*, -1, -1> >::adj_Op, Eigen::Matrix<stan::math::vari*, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::vari*, -1, -1> >::adj_Op, Eigen::Matrix<stan::math::vari*, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::vari*, -1, -1> >::adj_Op, Eigen::Matrix<stan::math::vari*, -1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::vari*, -1, -1> >::adj_Op, Eigen::Matrix<stan::math::vari*, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::vari*, -1, -1> >::adj_Op, Eigen::Matrix<stan::math::vari*, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::vari*, -1, -1> >::adj_Op, Eigen::Matrix<stan::math::vari*, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::vari*, -1, -1> >::adj_Op, Eigen::Matrix<stan::math::vari*, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:132:27:   required from 'void stan::math::internal::trace_inv_quad_form_ldlt_vari<T2, R2, C2, T3, R3, C3>::chain() [with T2 = stan::math::var; int R2 = -1; int C2 = -1; T3 = stan::math::var; int R3 = -1; int C3 = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:122:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:96:29:   required from 'static void stan::math::internal::trace_inv_quad_form_ldlt_vari<T2, R2, C2, T3, R3, C3>::chainA(double, stan::math::internal::trace_inv_quad_form_ldlt_impl<stan::math::var, R2, C2, T3, R3, C3>*) [with T2 = stan::math::var; int R2 = -1; int C2 = -1; T3 = stan::math::var; int R3 = -1; int C3 = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:127:11:   required from 'void stan::math::internal::trace_inv_quad_form_ldlt_vari<T2, R2, C2, T3, R3, C3>::chain() [with T2 = stan::math::var; int R2 = -1; int C2 = -1; T3 = stan::math::var; int R3 = -1; int C3 = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:122:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:96:52:   required from 'static void stan::math::internal::trace_inv_quad_form_ldlt_vari<T2, R2, C2, T3, R3, C3>::chainA(double, stan::math::internal::trace_inv_quad_form_ldlt_impl<stan::math::var, R2, C2, T3, R3, C3>*) [with T2 = stan::math::var; int R2 = -1; int C2 = -1; T3 = stan::math::var; int R3 = -1; int C3 = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:127:11:   required from 'void stan::math::internal::trace_inv_quad_form_ldlt_vari<T2, R2, C2, T3, R3, C3>::chain() [with T2 = stan::math::var; int R2 = -1; int C2 = -1; T3 = stan::math::var; int R3 = -1; int C3 = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:122:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:96:13:   required from 'static void stan::math::internal::trace_inv_quad_form_ldlt_vari<T2, R2, C2, T3, R3, C3>::chainA(double, stan::math::internal::trace_inv_quad_form_ldlt_impl<stan::math::var, R2, C2, T3, R3, C3>*) [with T2 = stan::math::var; int R2 = -1; int C2 = -1; T3 = stan::math::var; int R3 = -1; int C3 = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:127:11:   required from 'void stan::math::internal::trace_inv_quad_form_ldlt_vari<T2, R2, C2, T3, R3, C3>::chain() [with T2 = stan::math::var; int R2 = -1; int C2 = -1; T3 = stan::math::var; int R3 = -1; int C3 = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:122:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:98:27:   required from 'static void stan::math::internal::trace_inv_quad_form_ldlt_vari<T2, R2, C2, T3, R3, C3>::chainA(double, stan::math::internal::trace_inv_quad_form_ldlt_impl<stan::math::var, R2, C2, T3, R3, C3>*) [with T2 = stan::math::var; int R2 = -1; int C2 = -1; T3 = stan::math::var; int R3 = -1; int C3 = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:127:11:   required from 'void stan::math::internal::trace_inv_quad_form_ldlt_vari<T2, R2, C2, T3, R3, C3>::chain() [with T2 = stan::math::var; int R2 = -1; int C2 = -1; T3 = stan::math::var; int R3 = -1; int C3 = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:122:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:109:53:   required from 'static void stan::math::internal::trace_inv_quad_form_ldlt_vari<T2, R2, C2, T3, R3, C3>::chainB(double, stan::math::internal::trace_inv_quad_form_ldlt_impl<T2, R2, C2, stan::math::var, R3, C3>*) [with T2 = stan::math::var; int R2 = -1; int C2 = -1; T3 = stan::math::var; int R3 = -1; int C3 = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:129:11:   required from 'void stan::math::internal::trace_inv_quad_form_ldlt_vari<T2, R2, C2, T3, R3, C3>::chain() [with T2 = stan::math::var; int R2 = -1; int C2 = -1; T3 = stan::math::var; int R3 = -1; int C3 = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:122:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:109:41:   required from 'static void stan::math::internal::trace_inv_quad_form_ldlt_vari<T2, R2, C2, T3, R3, C3>::chainB(double, stan::math::internal::trace_inv_quad_form_ldlt_impl<T2, R2, C2, stan::math::var, R3, C3>*) [with T2 = stan::math::var; int R2 = -1; int C2 = -1; T3 = stan::math::var; int R3 = -1; int C3 = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:129:11:   required from 'void stan::math::internal::trace_inv_quad_form_ldlt_vari<T2, R2, C2, T3, R3, C3>::chain() [with T2 = stan::math::var; int R2 = -1; int C2 = -1; T3 = stan::math::var; int R3 = -1; int C3 = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:122:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:37:   required from 'std::tuple<Eigen::Matrix<double, -1, 1, 0, -1, 1> > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array<bool, size>&, const VectorXd&) const [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10:   required from 'void stan::math::adj_jac_vari<F, Targs>::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from 'double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_redifhm_all_namespace::model_redifhm_all; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33:   required from 'std::tuple<Eigen::Matrix<double, -1, 1, 0, -1, 1> > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array<bool, size>&, const VectorXd&) const [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10:   required from 'void stan::math::adj_jac_vari<F, Targs>::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<ScalarBis, Scalar>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<ScalarBis>, Plain>, const Eigen::Product<Lhs, Rhs, 0> >, AssignFunc, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const AssignFunc&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; AssignFunc = Eigen::internal::assign_op<double, double>; Scalar = double; ScalarBis = double; Plain = const Eigen::Matrix<double, -1, -1, 1, -1, -1>; Eigen::internal::Assignment<DstXprType, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<ScalarBis, Scalar>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<ScalarBis>, Plain>, const Eigen::Product<Lhs, Rhs, 0> >, AssignFunc, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:95:11:   required from 'static void stan::math::internal::trace_inv_quad_form_ldlt_vari<T2, R2, C2, T3, R3, C3>::chainA(double, stan::math::internal::trace_inv_quad_form_ldlt_impl<stan::math::var, R2, C2, T3, R3, C3>*) [with T2 = stan::math::var; int R2 = -1; int C2 = -1; T3 = stan::math::var; int R3 = -1; int C3 = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:127:11:   required from 'void stan::math::internal::trace_inv_quad_form_ldlt_vari<T2, R2, C2, T3, R3, C3>::chain() [with T2 = stan::math::var; int R2 = -1; int C2 = -1; T3 = stan::math::var; int R3 = -1; int C3 = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:122:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:42:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_redifhm_all_namespace::model_redifhm_all; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_redifhm_all_namespace::model_redifhm_all; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:109:20:   required from 'static void stan::math::internal::trace_inv_quad_form_ldlt_vari<T2, R2, C2, T3, R3, C3>::chainB(double, stan::math::internal::trace_inv_quad_form_ldlt_impl<T2, R2, C2, stan::math::var, R3, C3>*) [with T2 = stan::math::var; int R2 = -1; int C2 = -1; T3 = stan::math::var; int R3 = -1; int C3 = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:129:11:   required from 'void stan::math::internal::trace_inv_quad_form_ldlt_vari<T2, R2, C2, T3, R3, C3>::chain() [with T2 = stan::math::var; int R2 = -1; int C2 = -1; T3 = stan::math::var; int R3 = -1; int C3 = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:122:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:109:20:   required from 'static void stan::math::internal::trace_inv_quad_form_ldlt_vari<T2, R2, C2, T3, R3, C3>::chainB(double, stan::math::internal::trace_inv_quad_form_ldlt_impl<T2, R2, C2, stan::math::var, R3, C3>*) [with T2 = stan::math::var; int R2 = -1; int C2 = -1; T3 = stan::math::var; int R3 = -1; int C3 = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:129:11:   required from 'void stan::math::internal::trace_inv_quad_form_ldlt_vari<T2, R2, C2, T3, R3, C3>::chain() [with T2 = stan::math::var; int R2 = -1; int C2 = -1; T3 = stan::math::var; int R3 = -1; int C3 = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:122:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from 'double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_redifhm_all_namespace::model_redifhm_all; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33:   required from 'std::tuple<Eigen::Matrix<double, -1, 1, 0, -1, 1> > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array<bool, size>&, const VectorXd&) const [with unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10:   required from 'void stan::math::adj_jac_vari<F, Targs>::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:29:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<ScalarBis, Scalar>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<ScalarBis>, Plain>, const Eigen::Product<Lhs, Rhs, 0> >, AssignFunc, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const AssignFunc&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; AssignFunc = Eigen::internal::assign_op<double, double>; Scalar = double; ScalarBis = double; Plain = const Eigen::Matrix<double, -1, -1, 1, -1, -1>; Eigen::internal::Assignment<DstXprType, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<ScalarBis, Scalar>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<ScalarBis>, Plain>, const Eigen::Product<Lhs, Rhs, 0> >, AssignFunc, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:95:11:   required from 'static void stan::math::internal::trace_inv_quad_form_ldlt_vari<T2, R2, C2, T3, R3, C3>::chainA(double, stan::math::internal::trace_inv_quad_form_ldlt_impl<stan::math::var, R2, C2, T3, R3, C3>*) [with T2 = stan::math::var; int R2 = -1; int C2 = -1; T3 = stan::math::var; int R3 = -1; int C3 = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:127:11:   required from 'void stan::math::internal::trace_inv_quad_form_ldlt_vari<T2, R2, C2, T3, R3, C3>::chain() [with T2 = stan::math::var; int R2 = -1; int C2 = -1; T3 = stan::math::var; int R3 = -1; int C3 = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:122:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<Scalar1, Scalar2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix<double, -1, -1>; Xpr2 = const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:29:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<ScalarBis, Scalar>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<ScalarBis>, Plain>, const Eigen::Product<Lhs, Rhs, 0> >, AssignFunc, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const AssignFunc&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; AssignFunc = Eigen::internal::assign_op<double, double>; Scalar = double; ScalarBis = double; Plain = const Eigen::Matrix<double, -1, -1, 1, -1, -1>; Eigen::internal::Assignment<DstXprType, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<ScalarBis, Scalar>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<ScalarBis>, Plain>, const Eigen::Product<Lhs, Rhs, 0> >, AssignFunc, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >; Func = Eigen::internal::assign_op<double, double>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:95:11:   required from 'static void stan::math::internal::trace_inv_quad_form_ldlt_vari<T2, R2, C2, T3, R3, C3>::chainA(double, stan::math::internal::trace_inv_quad_form_ldlt_impl<stan::math::var, R2, C2, T3, R3, C3>*) [with T2 = stan::math::var; int R2 = -1; int C2 = -1; T3 = stan::math::var; int R3 = -1; int C3 = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:127:11:   required from 'void stan::math::internal::trace_inv_quad_form_ldlt_vari<T2, R2, C2, T3, R3, C3>::chain() [with T2 = stan::math::var; int R2 = -1; int C2 = -1; T3 = stan::math::var; int R3 = -1; int C3 = 1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:122:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = int]':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_redifhm_all_namespace::model_redifhm_all; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type = void*]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari*, -1, -1> > >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:9:   required from 'void stan::math::multiply_mat_vari<Ta, Ra, Ca, Tb, Cb>::chain() [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:107:16:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_redifhm_all_namespace::model_redifhm_all; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_redifhm_all_namespace::model_redifhm_all; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_redifhm_all_namespace::model_redifhm_all; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_redifhm_all_namespace::model_redifhm_all; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:46,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_all.h:20,
                 from stanExports_redifhm_all.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/set_zero_all_adjoints.hpp: At global scope:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/set_zero_all_adjoints.hpp:14:13: warning: 'void stan::math::set_zero_all_adjoints()' defined but not used [-Wunused-function]
 static void set_zero_all_adjoints() {
             ^~~~~~~~~~~~~~~~~~~~~


d:/Compiler/rtools40/mingw32/bin/g++  -std=gnu++14 -I"D:/RCompile/recent/R-4.0.5/include" -DNDEBUG -I"../inst/include" -I"d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1  -I'd:/RCompile/CRANpkg/lib/4.0/BH/include' -I'd:/RCompile/CRANpkg/lib/4.0/Rcpp/include' -I'd:/RCompile/CRANpkg/lib/4.0/RcppEigen/include' -I'd:/RCompile/CRANpkg/lib/4.0/rstan/include' -I'd:/RCompile/CRANpkg/lib/4.0/StanHeaders/include'   -I"d:/Compiler/gcc-4.9.3/local330/include"  -DRCPP_PARALLEL_USE_TBB=1 -I"d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign -c stanExports_redifhm_multi_hier.cc -o stanExports_redifhm_multi_hier.o
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:397,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument '__m128' {aka '__vector(4) float'} [-Wignored-attributes]
 template<> struct is_arithmetic<__m128>  { enum { value = true }; };
                                       ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument '__m128i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 template<> struct is_arithmetic<__m128i> { enum { value = true }; };
                                        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument '__m128d' {aka '__vector(2) double'} [-Wignored-attributes]
 template<> struct is_arithmetic<__m128d> { enum { value = true }; };
                                        ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
                                           ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
                                           ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
                                           ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
 struct palign_impl<Offset,Packet4f>
                                   ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 struct palign_impl<Offset,Packet4i>
                                   ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
 struct palign_impl<Offset,Packet2d>
                                   ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet4f,4>& kernel) {
                                  ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet2d,2>& kernel) {
                                  ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet4i,4>& kernel) {
                                  ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:377,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
                                                                      ^
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<int, -1>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:101:22:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) long long int>::half' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<int, 1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, 1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, 1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, 1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:101:22:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Array<int, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Ref<Eigen::Array<int, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Array<int, 1, -1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Array<int, 1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from 'class Eigen::Ref<Eigen::Array<int, 1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:694:17:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__vector(4) float'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<float>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<double>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     explicit shared_count( std::auto_ptr<Y> & r ): pi_( new sp_counted_impl_p<Y>( r.get() ) )
                                 ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_multi_hier.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:250:65: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
 template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R >
                                                                 ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_multi_hier.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:507:31: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     explicit shared_ptr( std::auto_ptr<Y> & r ): px(r.get()), pn()
                               ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_multi_hier.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:520:22: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     shared_ptr( std::auto_ptr<Y> && r ): px(r.get()), pn()
                      ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_multi_hier.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:603:34: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     shared_ptr & operator=( std::auto_ptr<Y> & r )
                                  ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_multi_hier.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:612:34: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
     shared_ptr & operator=( std::auto_ptr<Y> && r )
                                  ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_multi_hier.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function 'boost::shared_ptr<T>& boost::shared_ptr<T>::operator=(std::auto_ptr<_Up>&&)':
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:614:38: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
         this_type( static_cast< std::auto_ptr<Y> && >( r ) ).swap( *this );
                                      ^~~~~~~~
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/locale_conv.h:41,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/locale:43,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/iomanip:43,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_multi_hier.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/aux_/na_assert.hpp:23,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/arg.hpp:25,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/placeholders.hpp:24,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/iterator/iterator_categories.hpp:16,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/iterator/iterator_facade.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/range/iterator_range_core.hpp:27,
                 from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/lexical_cast.hpp:30,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_args.hpp:12,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:20,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/assert.hpp: At global scope:
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of 'assert_arg' [-Wparentheses]
 failed ************ (Pred::************
                     ^
d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of 'assert_not_arg' [-Wparentheses]
 failed ************ (boost::mpl::not_<Pred>::************
                     ^
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/SparseCore:37,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Sparse:26,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:14,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, -1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__vector(2) long long int'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1065:84: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_root_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_root_proxy& ) {
                                                                                    ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_multi_hier.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1069:84: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_root_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_root_proxy& ) {
                                                                                    ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_multi_hier.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1074:99: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_root_with_context_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_root_with_context_proxy& p ) {
                                                                                                   ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_multi_hier.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1078:99: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_root_with_context_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_root_with_context_proxy& p ) {
                                                                                                   ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_multi_hier.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1083:94: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_continuation_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_continuation_proxy& p ) {
                                                                                              ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_multi_hier.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1087:94: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_continuation_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_continuation_proxy& p ) {
                                                                                              ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_multi_hier.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1091:87: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_child_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_child_proxy& p ) {
                                                                                       ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_multi_hier.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1095:87: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_child_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_child_proxy& p ) {
                                                                                       ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_multi_hier.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1099:101: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_additional_child_of_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void *operator new( size_t bytes, const tbb::internal::allocate_additional_child_of_proxy& p ) {
                                                                                                     ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_multi_hier.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here
 inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT
              ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1103:101: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_additional_child_of_proxy&)' follows definition but the attribute doesn't match [-Wattributes]
 inline void operator delete( void* task, const tbb::internal::allocate_additional_child_of_proxy& p ) {
                                                                                                     ^
In file included from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/ext/new_allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/i686-w64-mingw32/bits/c++allocator.h:33,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/bits/allocator.h:46,
                 from D:/Compiler/rtools40/mingw32/include/c++/8.3.0/unordered_map:40,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_multi_hier.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here
 inline void operator delete  (void*, void*) _GLIBCXX_USE_NOEXCEPT { }
             ^~~~~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:20:14:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:23:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:49,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isinf.hpp:16:42: warning: optimization attribute on 'int std::isinf(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isinf(const stan::math::var& a) {
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_multi_hier.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:597:3: note: previous definition of 'constexpr bool std::isinf(long double)' was here
   isinf(long double __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:49,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isinf.hpp:16:42: warning: optimization attribute on 'int std::isinf(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isinf(const stan::math::var& a) {
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_multi_hier.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:592:3: note: previous definition of 'constexpr bool std::isinf(double)' was here
   isinf(double __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:49,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isinf.hpp:16:42: warning: optimization attribute on 'int std::isinf(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isinf(const stan::math::var& a) {
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_multi_hier.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:584:3: note: previous definition of 'constexpr bool std::isinf(float)' was here
   isinf(float __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:50,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isnan.hpp:18:42: warning: optimization attribute on 'int std::isnan(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isnan(const stan::math::var& a) { return isnan(a.val()); }
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_multi_hier.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:624:3: note: previous definition of 'constexpr bool std::isnan(long double)' was here
   isnan(long double __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:50,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isnan.hpp:18:42: warning: optimization attribute on 'int std::isnan(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isnan(const stan::math::var& a) { return isnan(a.val()); }
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_multi_hier.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:619:3: note: previous definition of 'constexpr bool std::isnan(double)' was here
   isnan(double __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:50,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isnan.hpp:18:42: warning: optimization attribute on 'int std::isnan(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes]
 inline int isnan(const stan::math::var& a) { return isnan(a.val()); }
                                          ^
In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30,
                 from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27,
                 from stanExports_redifhm_multi_hier.cc:3:
D:/Compiler/rtools40/mingw32/include/c++/8.3.0/cmath:611:3: note: previous definition of 'constexpr bool std::isnan(float)' was here
   isnan(float __x)
   ^~~~~
In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439,
                 from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1,
                 from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_redifhm_multi_hier.h:20,
                 from stanExports_redifhm_multi_hier.cc:5:
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:41:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:45:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:30:29:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:25:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:33:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>':
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 8>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>'
d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28:   required from here
d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]

cc1plus.exe: out of memory allocating 65536 bytes
make[1]: *** [D:/RCompile/recent/R-4.0.5/etc/i386/Makeconf:227: stanExports_redifhm_multi_hier.o] Error 1
make[1]: Leaving directory '/d/temp/Rtmp8k1KGZ/R.INSTALL185fc3b3c1ed2/MIRES/src-i386'
ERROR: compilation failed for package 'MIRES'
* removing 'd:/Rcompile/CRANpkg/lib/4.0/MIRES'
* restoring previous 'd:/Rcompile/CRANpkg/lib/4.0/MIRES'